Lior Alexander's banner

Lior Alexander

@LiorOnAI • 117,565 subscribers

Founder @AlphaSignalAI (300k devs) • Ex-MILA researcher focusing on solving the explosion of knowledge in AI.

Shorts

With only one line of code, you can get access to Google Open Buildings, the largest building dataset, for any country.

With only one line of code, you can get access to Google Open Buildings, the largest building dataset, for any country.

501,307 просмотров

A team just made OpenAI Whisper 6x faster, 49% smaller, while keeping 99% of the accuracy. The model is already available on the HuggingFace Transformers library: model_id = "distil-whisper/distil-large-v2" You can also use their web UI to transcribe from URLs, files, or audio recordings. Model: Demo: Paper: Sasha Rush

A team just made OpenAI Whisper 6x faster, 49% smaller, while keeping 99% of the accuracy. The model is already available on the HuggingFace Transformers library: model_id = "distil-whisper/distil-large-v2" You can also use their web UI to transcribe from URLs, files, or audio recordings. Model: Demo: Paper: Sasha Rush

500,808 просмотров

NVIDIA finally released Neuralangelo's source code! The model can turn videos from any device into detailed 3D structures, fully replicating buildings, sculptures, or other real aworld objects or spaces virtually. Here's how it works: A model utilizes a 2D video with multiple angles of an object or scene. I selects frames from different viewpoints to understand depth, size, and shape. The AI creates an initial 3D representation, similar to a sculptor shaping a subject. The render is optimized to enhance details, like a sculptor refining texture. The outcome is a 3D object or scene suitable for virtual reality, digital twins, or robotics.

NVIDIA finally released Neuralangelo's source code! The model can turn videos from any device into detailed 3D structures, fully replicating buildings, sculptures, or other real aworld objects or spaces virtually. Here's how it works: A model utilizes a 2D video with multiple angles of an object or scene. I selects frames from different viewpoints to understand depth, size, and shape. The AI creates an initial 3D representation, similar to a sculptor shaping a subject. The render is optimized to enhance details, like a sculptor refining texture. The outcome is a 3D object or scene suitable for virtual reality, digital twins, or robotics.

478,069 просмотров

Anthropic might've just solved Prompt Engineering. Their new "Prompt Generator" tool can turn simple descriptions into advanced prompts optimized for LLMs.

Anthropic might've just solved Prompt Engineering. Their new "Prompt Generator" tool can turn simple descriptions into advanced prompts optimized for LLMs.

261,662 просмотров

This is a sneak peak into the future of medicine.. GlassAI launched an LLM-based tool capable of generating a diagnosis or clinical plan based on symptoms. Also, ChatGPT recently passed the US Medical Licensing Exam. Demo: Glass Health

This is a sneak peak into the future of medicine.. GlassAI launched an LLM-based tool capable of generating a diagnosis or clinical plan based on symptoms. Also, ChatGPT recently passed the US Medical Licensing Exam. Demo: Glass Health

256,874 просмотров

NVIDIA just made Pandas 150x faster with zero code changes. All you have to do is: %load_ext cudf.pandas import pandas as pd Their RAPIDS library will automatically know if you're running on GPU or CPU and speed up your processing. You can try it here: Repo:

NVIDIA just made Pandas 150x faster with zero code changes. All you have to do is: %load_ext cudf.pandas import pandas as pd Their RAPIDS library will automatically know if you're running on GPU or CPU and speed up your processing. You can try it here: Repo:

194,229 просмотров

Meta just announced that Code Llama was now free for both research and commercial. This might the strongest competitor to ChatGPT: ▸ Can generate, explain, and debug your code ▸ Handles input 100,000 tokens ▸ Free for research + commercial use ▸ Outperforms most open models ▸ Comes in 7B, 13B, and 34B ▸ Supports Python, C++, Java, PHP, Typescript (Javascript), C#, and Bash Available in: ▸ Foundation base models (Code Llama) ▸ Python specializations (Code Llama - Python), ▸ Instruction-following models (Code Llama - Instruct)

Meta just announced that Code Llama was now free for both research and commercial. This might the strongest competitor to ChatGPT: ▸ Can generate, explain, and debug your code ▸ Handles input 100,000 tokens ▸ Free for research + commercial use ▸ Outperforms most open models ▸ Comes in 7B, 13B, and 34B ▸ Supports Python, C++, Java, PHP, Typescript (Javascript), C#, and Bash Available in: ▸ Foundation base models (Code Llama) ▸ Python specializations (Code Llama - Python), ▸ Instruction-following models (Code Llama - Instruct)

196,432 просмотров

NVIDIA just released a very impressive text-to-video paper. Video Latent Diffusion Models (Video LDMs) use a diffusion model in a compressed latent space to generate high-resolution videos. Here's a brief overview of how it works: 1. Pre-train image LDM on a dataset of images. 2. Turn the image LDM into a Video LDM by adding temporal layers to model video frames. 3. Fine-tune the Video LDM on encoded video sequences to create a video generator. 4. Temporally align diffusion model upsamplers to generate high-resolution videos. 5. Validate Video LDM on real driving videos of 512x1024 resolution, achieving state-of-the-art performance. 6. Apply the approach in creative content creation with text-to-video modeling. Paper: Project:

NVIDIA just released a very impressive text-to-video paper. Video Latent Diffusion Models (Video LDMs) use a diffusion model in a compressed latent space to generate high-resolution videos. Here's a brief overview of how it works: 1. Pre-train image LDM on a dataset of images. 2. Turn the image LDM into a Video LDM by adding temporal layers to model video frames. 3. Fine-tune the Video LDM on encoded video sequences to create a video generator. 4. Temporally align diffusion model upsamplers to generate high-resolution videos. 5. Validate Video LDM on real driving videos of 512x1024 resolution, achieving state-of-the-art performance. 6. Apply the approach in creative content creation with text-to-video modeling. Paper: Project:

158,600 просмотров

You can run full browser automations for AI agents without worrying about Chrome, Puppeteer, or infrastructure. Steel is an open-source browser API that wraps Chrome, manages sessions, handles proxies, and exposes everything via a REST API or SDKs.

You can run full browser automations for AI agents without worrying about Chrome, Puppeteer, or infrastructure. Steel is an open-source browser API that wraps Chrome, manages sessions, handles proxies, and exposes everything via a REST API or SDKs.

67,985 просмотров

Object Detection + Tracking (ID + Trails) using YOLOv8 on custom dataset. Github Repo: Youtube Video Tutorial:

Object Detection + Tracking (ID + Trails) using YOLOv8 on custom dataset. Github Repo: Youtube Video Tutorial:

114,248 просмотров

JUST IN: Bard, Google's ChatGPT, is now available in the US and UK, with more countries to come. Waitlist:

JUST IN: Bard, Google's ChatGPT, is now available in the US and UK, with more countries to come. Waitlist:

101,815 просмотров

Videos

Anya Rossi

sweetdream.ai

SweetDream.ai•Sponsored•Livecam

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

Exclusive private shows

1.2k viewers online

Private Show

Join now for exclusive access

Free preview available • Premium content

Claude can make blue1brown animations in minutes. Education is about to explode.

Claude can make blue1brown animations in minutes. Education is about to explode.

1,414,466 просмотров • 8 месяцев назад

Ilya on LLMs understanding the world: "predicting the next token well, means that you understand the underlying reality that let to the creation of that token" Seem like the opposite view of Yann.

Ilya on LLMs understanding the world: "predicting the next token well, means that you understand the underlying reality that let to the creation of that token" Seem like the opposite view of Yann.

1,222,301 просмотров • 2 лет назад

AI applied to Boxing will change the sport forever. DeepStrike, is an AI-based solution to corruption/cheating. It measures millions of data points during a fight that it funnels into 50 metrics for each boxer: punches thrown, landed, footwork, balance, stance, etc.

AI applied to Boxing will change the sport forever. DeepStrike, is an AI-based solution to corruption/cheating. It measures millions of data points during a fight that it funnels into 50 metrics for each boxer: punches thrown, landed, footwork, balance, stance, etc.

928,385 просмотров • 3 лет назад

AutoGPT might be the next big step in AI. Here's why Karpathy recently said "AutoGPT is the next frontier of prompt engineering" AutoGPT is the equivalent of giving GPT-based models a memory and a body. You can now give a task to an AI agent and have it autonomously come up with a plan, execute on it, browse the web, and use new data to revise the strategy until the task is completed. It can analyze the market and come up with a trading strategy, customer service, marketing, finance, or other tasks that requires continuous updates. There are three components to it: 1. Architecture: It leverages GPT-4 and GPT-3.5 via API. 2. Autonomous Iterations: AutoGPT can refine its outputs by self-critical review, building on its previous work and integrating prompt history for more accurate results. 3. Memory Management: Integration with Pinecone allows for long-term memory storage, enabling context preservation and improved decision-making. 4. Multi-functionality: Capabilities include file manipulation, web browsing, and data retrieval, distinguishing AutoGPT from previous AI advancements by broadening its application scope.

AutoGPT might be the next big step in AI. Here's why Karpathy recently said "AutoGPT is the next frontier of prompt engineering" AutoGPT is the equivalent of giving GPT-based models a memory and a body. You can now give a task to an AI agent and have it autonomously come up with a plan, execute on it, browse the web, and use new data to revise the strategy until the task is completed. It can analyze the market and come up with a trading strategy, customer service, marketing, finance, or other tasks that requires continuous updates. There are three components to it: 1. Architecture: It leverages GPT-4 and GPT-3.5 via API. 2. Autonomous Iterations: AutoGPT can refine its outputs by self-critical review, building on its previous work and integrating prompt history for more accurate results. 3. Memory Management: Integration with Pinecone allows for long-term memory storage, enabling context preservation and improved decision-making. 4. Multi-functionality: Capabilities include file manipulation, web browsing, and data retrieval, distinguishing AutoGPT from previous AI advancements by broadening its application scope.

808,199 просмотров • 3 лет назад

1. Real time translation

1. Real time translation

537,355 просмотров • 2 лет назад

I just came across the most realistic text-to-audio model I've ever seen. You can even clone your voice. The audiobook industry is about to change forever. Demo: from

I just came across the most realistic text-to-audio model I've ever seen. You can even clone your voice. The audiobook industry is about to change forever. Demo: from

750,053 просмотров • 3 лет назад

OpenAI just announced "GPT-4o". It can reason with voice, vision, and text. The model is 2x faster, 50% cheaper, and has 5x higher rate limit than GPT-4 Turbo. It will be available for free users and via the API. The voice model can even pick up on emotion and generate emotive voice.

OpenAI just announced "GPT-4o". It can reason with voice, vision, and text. The model is 2x faster, 50% cheaper, and has 5x higher rate limit than GPT-4 Turbo. It will be available for free users and via the API. The voice model can even pick up on emotion and generate emotive voice.

485,137 просмотров • 2 лет назад

GoogleAI just released "Muse", a text-to-image generation/editing model via Masked Generative Transformers: - Achieves new SOTA - Zero-shot, Mask-free editing - Zero-shot Inpainting/Outpainting - 900M params 📄 Paper: ⚙️ Project:

GoogleAI just released "Muse", a text-to-image generation/editing model via Masked Generative Transformers: - Achieves new SOTA - Zero-shot, Mask-free editing - Zero-shot Inpainting/Outpainting - 900M params 📄 Paper: ⚙️ Project:

630,613 просмотров • 3 лет назад

This is the most impressive feature of the new bing. The GPT browser can understand and summarize a 15-page PDF in seconds. You can now ask for the the key takeaways of each page and chat about the content of the document.

This is the most impressive feature of the new bing. The GPT browser can understand and summarize a 15-page PDF in seconds. You can now ask for the the key takeaways of each page and chat about the content of the document.

600,029 просмотров • 3 лет назад

3. Code understanding/debugging via voice commands

3. Code understanding/debugging via voice commands

414,850 просмотров • 2 лет назад

One of the most impressive AI demo I've seen. This is the future of customer service. Agents that can understand text, speech, images and even live video. Soon to be all open-source.

One of the most impressive AI demo I've seen. This is the future of customer service. Agents that can understand text, speech, images and even live video. Soon to be all open-source.

271,221 просмотров • 1 год назад

Google AI just announced the PaLM API! It will be released with a new tool called MakerSuite, which lets you prototype ideas, do prompt engineering, synthetic data generation and custom-model tuning. Waitlist available soon.

Google AI just announced the PaLM API! It will be released with a new tool called MakerSuite, which lets you prototype ideas, do prompt engineering, synthetic data generation and custom-model tuning. Waitlist available soon.

525,940 просмотров • 3 лет назад

5. Visually understand images, plots, and code.

5. Visually understand images, plots, and code.

371,163 просмотров • 2 лет назад

You can now transcribe 2.5 hours of audio in 98 seconds, locally. A new implementation called insanely-fast-whisper is blowing up on Github. It works on works on Mac or Nvidia GPUs and uses the Whisper + Pyannote library speed up transcriptions and speaker segmentations. Here's how you can use it: pip install insanely-fast-whisper insanely-fast-whisper --file-name --batch-size 2 --device-id mps --hf_token

You can now transcribe 2.5 hours of audio in 98 seconds, locally. A new implementation called insanely-fast-whisper is blowing up on Github. It works on works on Mac or Nvidia GPUs and uses the Whisper + Pyannote library speed up transcriptions and speaker segmentations. Here's how you can use it: pip install insanely-fast-whisper insanely-fast-whisper --file-name --batch-size 2 --device-id mps --hf_token

345,038 просмотров • 2 лет назад

Ilya Sutskever's has a bold take. LLMs are doing much more than predicting the next word. They are learning our world model. Text is a projection of the world.

Ilya Sutskever's has a bold take. LLMs are doing much more than predicting the next word. They are learning our world model. Text is a projection of the world.

326,500 просмотров • 2 лет назад

Big News! Meta just released Segment Anything, a new AI model that can "cut out" any object, in any image/video, with a single click. The model is designed and trained to be promptable, so it can transfer zero-shot to new image distributions and tasks.

Big News! Meta just released Segment Anything, a new AI model that can "cut out" any object, in any image/video, with a single click. The model is designed and trained to be promptable, so it can transfer zero-shot to new image distributions and tasks.

290,330 просмотров • 3 лет назад

BREAKING: Claude-2, Anthropic's ChatGPT competitor was just released and it's incredible. It's cheaper, stronger, faster, can handle PDFs, and supports longer conversations. Highlights: 1. Claude is 5x cheaper than GPT-4. 2. It has more recent data. A a mix of websites, licensed data sets from third parties and voluntarily-supplied user data from early 2023. 3. It outperforms GPT4 on the GRE writing and HumanEval coding benchmarks. 3. It features a context window of 100,000 tokens, the largest of any commercially available model. 4. It can analyze roughly 75,000 words, about the length of “The Great Gatsby". 5. It can easily handle any code related tasks.

BREAKING: Claude-2, Anthropic's ChatGPT competitor was just released and it's incredible. It's cheaper, stronger, faster, can handle PDFs, and supports longer conversations. Highlights: 1. Claude is 5x cheaper than GPT-4. 2. It has more recent data. A a mix of websites, licensed data sets from third parties and voluntarily-supplied user data from early 2023. 3. It outperforms GPT4 on the GRE writing and HumanEval coding benchmarks. 3. It features a context window of 100,000 tokens, the largest of any commercially available model. 4. It can analyze roughly 75,000 words, about the length of “The Great Gatsby". 5. It can easily handle any code related tasks.

255,662 просмотров • 3 лет назад

This is a big day. Meta is open-sourcing AudioCraft. You can now generate incredible music and sounds with a single prompt. It includes the most performant Generative AI Model (audio) on the market, the "Llama" of Audio. The research framework contains the weights and code of these models: ▸ MusicGen: controllable text-to-music model. ▸ AudioGen: text-to-sound model. ▸ EnCodec: high fidelity neural audio codec. ▸ Multi Band Diffusion: An EnCodec compatible decoder using diffusion. This is going to tremendously speed up audio research 👏

This is a big day. Meta is open-sourcing AudioCraft. You can now generate incredible music and sounds with a single prompt. It includes the most performant Generative AI Model (audio) on the market, the "Llama" of Audio. The research framework contains the weights and code of these models: ▸ MusicGen: controllable text-to-music model. ▸ AudioGen: text-to-sound model. ▸ EnCodec: high fidelity neural audio codec. ▸ Multi Band Diffusion: An EnCodec compatible decoder using diffusion. This is going to tremendously speed up audio research 👏

231,729 просмотров • 3 лет назад

Adobe just added their first Generative AI tool to Photoshop! Big milestone. Generative Fill allows you to extend images as well as add and remove objects using simple text prompts.

Adobe just added their first Generative AI tool to Photoshop! Big milestone. Generative Fill allows you to extend images as well as add and remove objects using simple text prompts.

221,319 просмотров • 3 лет назад

This is big. The Retrieval Plugin allows ChatGPT to have a memory! The model can now remember information from conversations and store it in the retrieval plugin for later use. This feature is a must if you want to develop GPT-based tools.

This is big. The Retrieval Plugin allows ChatGPT to have a memory! The model can now remember information from conversations and store it in the retrieval plugin for later use. This feature is a must if you want to develop GPT-based tools.

227,632 просмотров • 3 лет назад