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Only thing Gojo's splitting in half here are Jinwoo's cheeks! Debuting some new models for my scoutfunverse thanks to Sora for the gifts. 🧍Models by x_RedEyes 🔞 | (OPEN COMMISSIONS) 🎙️Gojo VA: Ryan🐦‍🔥🎧 🎙️Jinwoo VA: Lust 欲 🔊Lewd Sounds: OpenNSFW 🟣 Available Now 🧵More fun in the thread.

ScoutfunTF2 COMMISSIONS check description!

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323,224 Aufrufe • vor 3 Monaten •via X (Twitter)

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Listen some of y'all want this to not be real so bad it's hard enough finding models for only fans now we have to deal with people saying that the page isn't real well here is verification full-length videos of REALALPHAZAE and |Findom|Master D are available all you have to do is click the link in my bio now the page is new we've been running for a little under 2 weeks

Listen some of y'all want this to not be real so bad it's hard enough finding models for only fans now we have to deal with people saying that the page isn't real well here is verification full-length videos of REALALPHAZAE and |Findom|Master D are available all you have to do is click the link in my bio now the page is new we've been running for a little under 2 weeks

Submissive Behavior

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Text to Sound Effects is here. Our newest AI Audio model generates sound effects, short instrumental tracks, soundscapes, and a wide variety of character voices, all from a text prompt. Available now for all users. Everyone from content creators, video game developers, to film and television studios, uses sound effects to create rich and immersive content. Now, in addition to AI voiceovers, you can generate all of the sounds you need with just a prompt. Everything you hear in this video was generated by ElevenLabs sound and voice models. In this thread, we shared some additional clips that help show off the range of this new model.

Text to Sound Effects is here. Our newest AI Audio model generates sound effects, short instrumental tracks, soundscapes, and a wide variety of character voices, all from a text prompt. Available now for all users. Everyone from content creators, video game developers, to film and television studios, uses sound effects to create rich and immersive content. Now, in addition to AI voiceovers, you can generate all of the sounds you need with just a prompt. Everything you hear in this video was generated by ElevenLabs sound and voice models. In this thread, we shared some additional clips that help show off the range of this new model.

ElevenLabs

451,024 Aufrufe • vor 2 Jahren

learned a lot from this conversation with Simon Mo and Matt Bornstein. biggest takeaways for me: -there are a lot of reasons why we should like open-weight models. a lot of these arguments stop at handwavy things like "what if the labs stop releasing frontier models to the public" or "it's lower cost." but simon's position as lead maintainer of vLLM and CEO of Inferact give him authority to talk about some of the other, more interesting and concrete reasons to pay attention to open-weight models, namely that they allow end-users to calibrate latency / other performance metrics with way more customizability than what any of the frontier closed-source labs offer (and without the fear that your job might be met with a refusal at some random point where you're deep in a 2 hour job) -re: the above point...for this reason, a lot of US companies (inferact included!) choose to use open-weight models over their closed-source alternatives. this also isn't limited to internal workloads / research - on a recent a16z podcast the team at Decagon spoke about how something like 90% of their customer service ai agents run on open-weight models that they've fine-tuned. -we should really appreciate how many companies/teams came out researchers fascinated by the wave of very small open-weight models that were being distilled from e.g. gpt-3.5 and earlier models in 2022/2023 (prior to the release of chatGPT!). these small models motivated the development of pagedattention, which then led to vlmm/inferact (at other layers of the stack with similar origin stories, you can look at teams like openrouter or ollama). in other words, we have open-weight models to thank for a bunch of the orchestration infra we now rely on. i think yet another, indirect, way we can point to open-source/weight infra pushing the frontier forward. anyway, a lot more in this convo, it was a lot of fun!

learned a lot from this conversation with Simon Mo and Matt Bornstein. biggest takeaways for me: -there are a lot of reasons why we should like open-weight models. a lot of these arguments stop at handwavy things like "what if the labs stop releasing frontier models to the public" or "it's lower cost." but simon's position as lead maintainer of vLLM and CEO of Inferact give him authority to talk about some of the other, more interesting and concrete reasons to pay attention to open-weight models, namely that they allow end-users to calibrate latency / other performance metrics with way more customizability than what any of the frontier closed-source labs offer (and without the fear that your job might be met with a refusal at some random point where you're deep in a 2 hour job) -re: the above point...for this reason, a lot of US companies (inferact included!) choose to use open-weight models over their closed-source alternatives. this also isn't limited to internal workloads / research - on a recent a16z podcast the team at Decagon spoke about how something like 90% of their customer service ai agents run on open-weight models that they've fine-tuned. -we should really appreciate how many companies/teams came out researchers fascinated by the wave of very small open-weight models that were being distilled from e.g. gpt-3.5 and earlier models in 2022/2023 (prior to the release of chatGPT!). these small models motivated the development of pagedattention, which then led to vlmm/inferact (at other layers of the stack with similar origin stories, you can look at teams like openrouter or ollama). in other words, we have open-weight models to thank for a bunch of the orchestration infra we now rely on. i think yet another, indirect, way we can point to open-source/weight infra pushing the frontier forward. anyway, a lot more in this convo, it was a lot of fun!

Elena

12,922 Aufrufe • vor 1 Monat

Today we're launching Accomplish FREE - powered by our new hybrid model router. Since we launched Accomplish a few weeks ago, we've been blown away by what users are building with it. Hundreds of thousands of you downloaded the app and took it for a spin, but one thing kept coming up: not everyone wants to bring their own API key just to get started. So today we're fixing that with free, built-in models - made possible by a massive shift that's happened in just the past few weeks: the rise of fully hosted open-weight models - locally on your Windows machine with NVIDIA NVIDIA GeForce, on your Mac with Apple MLX, or on Accomplish cloud, for FREE. Our new hybrid routing algorithm dynamically routes between cloud models and models running locally on your machine - optimizing for local execution by automatically detecting your hardware capabilities and each sub-task's complexity: coding, visuals, simple classifications - every LLM call is routed to the best model. We also brought some of our favorite enterprise features to the free tier: scheduled task dispatch, Google Workspace integration (Google Drive Docs, Sheets, Slides) via the new Google Workspace CLI, native Slack MCP connectivity, and more. Accomplish FREE is available for macOS, Windows, and Linux. Download, send a task - and boom, it just works with ZERO configuration! Download link in bio / first comment >>

Today we're launching Accomplish FREE - powered by our new hybrid model router. Since we launched Accomplish a few weeks ago, we've been blown away by what users are building with it. Hundreds of thousands of you downloaded the app and took it for a spin, but one thing kept coming up: not everyone wants to bring their own API key just to get started. So today we're fixing that with free, built-in models - made possible by a massive shift that's happened in just the past few weeks: the rise of fully hosted open-weight models - locally on your Windows machine with NVIDIA NVIDIA GeForce, on your Mac with Apple MLX, or on Accomplish cloud, for FREE. Our new hybrid routing algorithm dynamically routes between cloud models and models running locally on your machine - optimizing for local execution by automatically detecting your hardware capabilities and each sub-task's complexity: coding, visuals, simple classifications - every LLM call is routed to the best model. We also brought some of our favorite enterprise features to the free tier: scheduled task dispatch, Google Workspace integration (Google Drive Docs, Sheets, Slides) via the new Google Workspace CLI, native Slack MCP connectivity, and more. Accomplish FREE is available for macOS, Windows, and Linux. Download, send a task - and boom, it just works with ZERO configuration! Download link in bio / first comment >>

Or Hiltch

103,738 Aufrufe • vor 6 Monaten

The Bible says happy is the man who is content with their lot in life. You’ve got your square on this earth. You’re only here for a short time. Someone has more than you. Someone has less. Who really cares. The simple things are what give the most pleasure: love, kindness, charity. I have some material things now and I lived a good part of my life without them. They’re convenient. They’re fun, but they’re not the thing. That’s the most important thing to remember. Enjoy your life. The simple things are the whole thing.

The Bible says happy is the man who is content with their lot in life. You’ve got your square on this earth. You’re only here for a short time. Someone has more than you. Someone has less. Who really cares. The simple things are what give the most pleasure: love, kindness, charity. I have some material things now and I lived a good part of my life without them. They’re convenient. They’re fun, but they’re not the thing. That’s the most important thing to remember. Enjoy your life. The simple things are the whole thing.

Anthony Scaramucci

53,820 Aufrufe • vor 1 Monat

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Beto

35,480 Aufrufe • vor 10 Monaten

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Custom Agents become generally available today. What we learned in the alpha: - Over a million custom agents went live! The use cases are SO broad. Seeing what people do with them is easily my favorite part of the job. - Agents are not just for engineers! People from every function are now building their own factories. (watch this space at Developer day next week!) - The combination of custom agents with Notion Workers is basically magic! What you can automate is now limited by your own imagination. - Control matters! Context, permissions, and cost came up a lot, and we shipped major improvements within the alpha. - On cost, people love the ability to experiment with different models, and swap out more expensive models with open-weight ones, where it makes sense. - Usage-based pricing is new for Notion, but becoming the standard for AI. It fits the idea of intelligence as a service. Really grateful for all the feedback. It directly shaped what we shipped. Keep it coming, my DMs are open.

Akshay Kothari

29,932 Aufrufe • vor 4 Monaten

By request, a THREAD 🧵: "What if those we trust the most aren't really who we think they are?" As I’ve watched people take sides between team Candace Owens and team Erika Kirk in the aftermath of Charlie Kirk’s ‘assassination,’ I’ve decided to go with team None of the Above. I put this video together a few months ago pointing out some disturbing connections I was finding with the occult world. I’ve since been asked by several people to do a thread going into more detail on what I included in the video. I put this thread together in the same order that the breadcrumbs appear in my original video, so I recommend watching it first for context. I encourage you to do your own research on what I’m about to present, and to pray to God for discernment, not only for yourselves, but for me as well. I’d love to be wrong about some of the connections I’ve made, but I feel obligated to share what I’ve found nonetheless. This thread is long, so grab a snickers bar. DISCLAIMER: This thread is NOT aimed at good, God-loving Catholic people who are genuinely seeking after the truth. I have the pleasure of calling many of them my friends. It is aimed at the luciferian system masquerading as “the vicar of Christ” here on earth.

By request, a THREAD 🧵: "What if those we trust the most aren't really who we think they are?" As I’ve watched people take sides between team Candace Owens and team Erika Kirk in the aftermath of Charlie Kirk’s ‘assassination,’ I’ve decided to go with team None of the Above. I put this video together a few months ago pointing out some disturbing connections I was finding with the occult world. I’ve since been asked by several people to do a thread going into more detail on what I included in the video. I put this thread together in the same order that the breadcrumbs appear in my original video, so I recommend watching it first for context. I encourage you to do your own research on what I’m about to present, and to pray to God for discernment, not only for yourselves, but for me as well. I’d love to be wrong about some of the connections I’ve made, but I feel obligated to share what I’ve found nonetheless. This thread is long, so grab a snickers bar. DISCLAIMER: This thread is NOT aimed at good, God-loving Catholic people who are genuinely seeking after the truth. I have the pleasure of calling many of them my friends. It is aimed at the luciferian system masquerading as “the vicar of Christ” here on earth.

Gutsy Sheila

45,187 Aufrufe • vor 7 Monaten

Lecture 11 is a tool-use/function calling/agentic 101! I almost skipped this one, as this chapter started as the only skill-specific topic in the book, but since writing it tool-use has only become more foundational to modern models. This is a tour from the basics -- why LLMs need tools -- to some of the cutting edge challenges scaling agentic RL. Of course, there's plenty of history and fundamentals along the way. Personally, I'm excited to get much more deeply into this area as a researcher again soon. Just a few more lectures left, but I'll likely keep making a few more videos now that I have pipelines that are lightweight and fun. 00:00 Introduction & Motivations 07:29 Part 1: Why Language Models Need Tools (+ related work) 15:30 Part 2: Infra - How Tool Calls Actually Work 24:17 Part 3: Training for Tool Use & OpenThoughts-Agent 36:38 Takeaways Thanks for watching & sharing questions.

Lecture 11 is a tool-use/function calling/agentic 101! I almost skipped this one, as this chapter started as the only skill-specific topic in the book, but since writing it tool-use has only become more foundational to modern models. This is a tour from the basics -- why LLMs need tools -- to some of the cutting edge challenges scaling agentic RL. Of course, there's plenty of history and fundamentals along the way. Personally, I'm excited to get much more deeply into this area as a researcher again soon. Just a few more lectures left, but I'll likely keep making a few more videos now that I have pipelines that are lightweight and fun. 00:00 Introduction & Motivations 07:29 Part 1: Why Language Models Need Tools (+ related work) 15:30 Part 2: Infra - How Tool Calls Actually Work 24:17 Part 3: Training for Tool Use & OpenThoughts-Agent 36:38 Takeaways Thanks for watching & sharing questions.

Nathan Lambert

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The New Standard for Web3 Games Is Here! RavenQuest is a Massive Content-Rich MMORPG, built on the success of our Web2 game, RavenDawn. Now coming to Web3 to solve traditional MMORPG problems like unsafe third-party markets, by offering a secure on-chain experience. After 7+ years in development, we’re launching a complete game filled with lore, puzzles, endless player customization, and a massive open world with no loading screens. 🤏Early Access Made Easy: Who: Free for everyone What: 10M QUEST Play-To-Airdrop Where: Download on our website (link in thread) When: Part 1 is Aug 29 - Sept 7 🏆 How to Win: Leaderboard - Earn points, enter for 6M QUEST PvP Tournament - Compete for 1M QUEST PvE Boss Tournament - Battle for 1M QUEST Land Owners Pool - Share 2M QUEST Bonus: Hit gold milestones for even more rewards The adventure begins August 29th. Are you ready to claim your place in RavenQuest and help Set A New Standard For Web3 Gaming? (Links in Thread 👇🧵)

The New Standard for Web3 Games Is Here! RavenQuest is a Massive Content-Rich MMORPG, built on the success of our Web2 game, RavenDawn. Now coming to Web3 to solve traditional MMORPG problems like unsafe third-party markets, by offering a secure on-chain experience. After 7+ years in development, we’re launching a complete game filled with lore, puzzles, endless player customization, and a massive open world with no loading screens. 🤏Early Access Made Easy: Who: Free for everyone What: 10M QUEST Play-To-Airdrop Where: Download on our website (link in thread) When: Part 1 is Aug 29 - Sept 7 🏆 How to Win: Leaderboard - Earn points, enter for 6M QUEST PvP Tournament - Compete for 1M QUEST PvE Boss Tournament - Battle for 1M QUEST Land Owners Pool - Share 2M QUEST Bonus: Hit gold milestones for even more rewards The adventure begins August 29th. Are you ready to claim your place in RavenQuest and help Set A New Standard For Web3 Gaming? (Links in Thread 👇🧵)

RavenQuest

290,283 Aufrufe • vor 2 Jahren

#WATCH | On the comparison with Korea and Taiwan on semiconductors, Union Minister for Railways, I&B, Electronics & IT, Ashwini Vaishnaw says, "Many other countries have very well-established ecosystems. Korea has had a very strong semiconductor industry for decades. In Taiwan, practically 40% of the economy comes from electronics and semiconductors... We started this journey a few years ago... But the countries which use AI for increasing their productivity are the ones which are going to have significant benefits coming from this new wave of technology... Every sector in India is today using AI in a very big way... People are using small models which are available in open source... In railways, it is used in the maintenance activities, in predicting the load, the passenger load which is going to happen at a particular station... Last entire financial year, we ran 80 thousand special trains... Congress did try to put some old visuals, and then they retracted. But by and large, people were able to travel..." Watch Full Episode Here:

#WATCH | On the comparison with Korea and Taiwan on semiconductors, Union Minister for Railways, I&B, Electronics & IT, Ashwini Vaishnaw says, "Many other countries have very well-established ecosystems. Korea has had a very strong semiconductor industry for decades. In Taiwan, practically 40% of the economy comes from electronics and semiconductors... We started this journey a few years ago... But the countries which use AI for increasing their productivity are the ones which are going to have significant benefits coming from this new wave of technology... Every sector in India is today using AI in a very big way... People are using small models which are available in open source... In railways, it is used in the maintenance activities, in predicting the load, the passenger load which is going to happen at a particular station... Last entire financial year, we ran 80 thousand special trains... Congress did try to put some old visuals, and then they retracted. But by and large, people were able to travel..." Watch Full Episode Here:

ANI

23,459 Aufrufe • vor 3 Monaten

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Whole Mars Catalog

45,595 Aufrufe • vor 1 Monat

I think we're reaching a point where context length, reasoning quality, and cost matter more than another leaderboard screenshot. After spending some time with Tencent Hunyuan Hy3, that's exactly the impression I got. The model handled long coding sessions, instruction following, and agent-style tasks without feeling unnecessarily "heavy." Instead of optimizing for one-off prompts, it feels designed for people who actually build with LLMs every day. Another thing that caught my attention is how much performance it packs into its architecture. According to Tencent, Hy3 delivers intelligence that's competitive with flagship open-source models 2–5× larger in parameter scale, making it an impressive balance of capability and efficiency. It's also released under the Apache 2.0 license, available through OpenRouter, and currently free to try for the next two weeks, making it a great opportunity for developers to experiment without worrying about inference costs. Curious to see how the community puts it to work over the next few weeks. Try it here: Thanks Tencent Hy for bringing another strong open model to developers. #Hy3 #Hunyuan #TencentAI #OpenSource

I think we're reaching a point where context length, reasoning quality, and cost matter more than another leaderboard screenshot. After spending some time with Tencent Hunyuan Hy3, that's exactly the impression I got. The model handled long coding sessions, instruction following, and agent-style tasks without feeling unnecessarily "heavy." Instead of optimizing for one-off prompts, it feels designed for people who actually build with LLMs every day. Another thing that caught my attention is how much performance it packs into its architecture. According to Tencent, Hy3 delivers intelligence that's competitive with flagship open-source models 2–5× larger in parameter scale, making it an impressive balance of capability and efficiency. It's also released under the Apache 2.0 license, available through OpenRouter, and currently free to try for the next two weeks, making it a great opportunity for developers to experiment without worrying about inference costs. Curious to see how the community puts it to work over the next few weeks. Try it here: Thanks Tencent Hy for bringing another strong open model to developers. #Hy3 #Hunyuan #TencentAI #OpenSource

Succeeded Mind

12,384 Aufrufe • vor 2 Monaten

Chamath: AI advantage may come less from models than from private inputs. "When labs can build similar models, the real win comes from one unique ingredient in order to monetize it well. Here is a basic thing about machine learning that is worth knowing: if you take 1,000 of the same inputs and give them to Facebook, Microsoft, Google, and Amazon, they will all come up with the same machine learning model. But if you have one extra thing, one little ingredient that all of those other companies do not have, your output can be markedly different. It is like giving two great chefs three ingredients, but giving the third chef one extra ingredient. That person has the ability to do something very special. Right now, we are in a world where everybody is crawling the open web. We are going to move to a world where, as everybody gets sophisticated enough and information is widely available, somebody is going to say, “You know what? This site, I am not going to allow anybody else to access. It is only for me, only for my models.” Those models will become better. So we have to let that play out a little bit. It is going to be a really interesting arms race. The next wave of M&A, for example, could be companies like Google, Microsoft, and Facebook looking at these companies and saying, “Can they be viable inputs to my large language models or to my other machine learning and AI models?” --- A company with unique workflows, transactions, medical records, industrial logs, legal archives, design files, or user behavior can turn boring private data into a compounding advantage. Some startups may never become great public companies on their own, yet still become valuable because they own a data stream that makes a larger AI system sharper, more differentiated, or harder to copy. That turns acquisition strategy upside down: the buyer may not be purchasing revenue, brand, or even software, but a private ingredient for intelligence. ---- From "iConnections" YouTube channel, (link in comment)

Rohan Paul

143,134 Aufrufe • vor 3 Monaten

My Latest AI short was made with Seedance 2.0 the model that has been firing up the internet over the past couple of days. I made this in two and half days and it's an original short that is based on HP Lovecraft's work which is now Public Domain (No Copyright infringement here!). If you are not into period romances then bare with it as it gets a more little action packed in the second half! The model is brilliant at both performance and action, you can now make convincing dialogue and action sequences for AI cinema. With this model we have now reached the stage where we can tell any story we want with AI, the tools are capable. This is only 720p at the moment but I suspect it will be upgraded to 1080p very soon. We stand at the threshold of having broadcast quality tools capable of creating anything we can imagine available to everyone, so lets do new an interesting things with it. Thank you to CapCut for whitelisting me and to Dreamina AI AI for giving me access as part of their CPP. Thanks for watching! 👀

My Latest AI short was made with Seedance 2.0 the model that has been firing up the internet over the past couple of days. I made this in two and half days and it's an original short that is based on HP Lovecraft's work which is now Public Domain (No Copyright infringement here!). If you are not into period romances then bare with it as it gets a more little action packed in the second half! The model is brilliant at both performance and action, you can now make convincing dialogue and action sequences for AI cinema. With this model we have now reached the stage where we can tell any story we want with AI, the tools are capable. This is only 720p at the moment but I suspect it will be upgraded to 1080p very soon. We stand at the threshold of having broadcast quality tools capable of creating anything we can imagine available to everyone, so lets do new an interesting things with it. Thank you to CapCut for whitelisting me and to Dreamina AI AI for giving me access as part of their CPP. Thanks for watching! 👀

Uncanny Harry AI

76,935 Aufrufe • vor 7 Monaten

We’re launching Optima. Now anyone can create a custom benchmark for their use case, leveraging Artificial Analysis’ leading research and platform Building and running benchmarks is difficult. We have distilled Artificial Analysis’ research and experience developing benchmarks into Optima, a new platform for benchmarking models on your own workloads and comparing performance, speed and cost efficiency. Optima allows you to find the best model for your task, or an equally performant alternative to your current setup at 10x lower cost or time per task. We’ve integrated Artificial Analysis' research and experience in benchmarks across the Optima workflow: ➤ Build benchmarks based on your own data and use cases: There are three ways to build a benchmark with Optima. Upload an existing evaluation dataset from your own files or Hugging Face, or import agent traces from platforms including Arize AI, Braintrust and langfuse.com. Install the Optima skill to build a benchmark using context from your coding environment and previous sessions. Or simply describe your use case and provide example inputs and outputs, and Optima will build the benchmark for you ➤ Run across the latest models: Run the same benchmark across leading models in a single click, and keep your leaderboard up to date as soon as new models are released ➤ Bring Artificial Analysis grading to your own benchmark: Evaluate responses against objective rubric criteria or using the same pairwise judging approach used for Artificial Analysis benchmarks including GDPval-AA and AA-Briefcase. For pairwise judging, select your preferred responses from a sample and Optima uses those preferences to rank models across your test set ➤ Compare performance, cost and time efficiency: Optima measures more than model performance. Cost per Task and Time per Task are tracked alongside benchmark scores, with category-level results and support for custom metrics, allowing you to compare the tradeoffs between models for your specific use case Ahead of launch, here are examples questions our beta testers answered with Optima: ➤ Which model can save me 10x the cost without a meaningful decrease in quality for my finance & accounting agent? ➤ Which model best matches the writing style of lawyers for my legal agent? ➤ Which model can best identify different elements in my custom image dataset? Optima is available today. Build your own benchmark at

We’re launching Optima. Now anyone can create a custom benchmark for their use case, leveraging Artificial Analysis’ leading research and platform Building and running benchmarks is difficult. We have distilled Artificial Analysis’ research and experience developing benchmarks into Optima, a new platform for benchmarking models on your own workloads and comparing performance, speed and cost efficiency. Optima allows you to find the best model for your task, or an equally performant alternative to your current setup at 10x lower cost or time per task. We’ve integrated Artificial Analysis' research and experience in benchmarks across the Optima workflow: ➤ Build benchmarks based on your own data and use cases: There are three ways to build a benchmark with Optima. Upload an existing evaluation dataset from your own files or Hugging Face, or import agent traces from platforms including Arize AI, Braintrust and langfuse.com. Install the Optima skill to build a benchmark using context from your coding environment and previous sessions. Or simply describe your use case and provide example inputs and outputs, and Optima will build the benchmark for you ➤ Run across the latest models: Run the same benchmark across leading models in a single click, and keep your leaderboard up to date as soon as new models are released ➤ Bring Artificial Analysis grading to your own benchmark: Evaluate responses against objective rubric criteria or using the same pairwise judging approach used for Artificial Analysis benchmarks including GDPval-AA and AA-Briefcase. For pairwise judging, select your preferred responses from a sample and Optima uses those preferences to rank models across your test set ➤ Compare performance, cost and time efficiency: Optima measures more than model performance. Cost per Task and Time per Task are tracked alongside benchmark scores, with category-level results and support for custom metrics, allowing you to compare the tradeoffs between models for your specific use case Ahead of launch, here are examples questions our beta testers answered with Optima: ➤ Which model can save me 10x the cost without a meaningful decrease in quality for my finance & accounting agent? ➤ Which model best matches the writing style of lawyers for my legal agent? ➤ Which model can best identify different elements in my custom image dataset? Optima is available today. Build your own benchmark at

Artificial Analysis

133,068 Aufrufe • vor 1 Monat