Загрузка видео...

Не удалось загрузить видео

На главную

Introducing the OpenRouter MCP, live model intelligence right inside your agent Your agent builds and ships, but when it comes to choosing the right model for the right job, it guesses from 6 month old training data Watch it pick, price, and test the right model:

OpenRouter's profile picture

OpenRouter

125,997 subscribers

264,005 просмотров • 1 месяц назад •via X (Twitter)

ОбразованиеНаука и технологииФинансы
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Today’s Agent Spotlight is on your garden’s new smartest companion: OpenFarm MCP Agent on ASI:One. ⚡ From planning a backyard veggie patch to running a school farm, this agent helps you grow the right crops, at the right time, with the right companions. Try it now: Link to Agent: Watch 👇
1:55

Today’s Agent Spotlight is on your garden’s new smartest companion: OpenFarm MCP Agent on ASI:One. ⚡ From planning a backyard veggie patch to running a school farm, this agent helps you grow the right crops, at the right time, with the right companions. Try it now: Link to Agent: Watch 👇

Fetch.ai

16,824 просмотров • 1 год назад

Introducing Agent 2.0 Go from a simple prompt to fully realized marketing briefs and campaign assets right inside of Runway Agent. You can also easily analyze your performance data to improve your creative and scale it across platforms, formats and markets. Agent is being built to become the most capable autonomous agent for real-world work.
1:01

Introducing Agent 2.0 Go from a simple prompt to fully realized marketing briefs and campaign assets right inside of Runway Agent. You can also easily analyze your performance data to improve your creative and scale it across platforms, formats and markets. Agent is being built to become the most capable autonomous agent for real-world work.

Runway

953,325 просмотров • 1 месяц назад

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇
2:23

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

girish

457,932 просмотров • 2 месяцев назад

Video generation is now live on OpenRouter! One API gives you access to the top video models, right alongside your text, images, audio, embeddings, and reranker generations. Watch our human-generated launch video:
3:27

Video generation is now live on OpenRouter! One API gives you access to the top video models, right alongside your text, images, audio, embeddings, and reranker generations. Watch our human-generated launch video:

OpenRouter

119,912 просмотров • 3 месяцев назад

⚡ VSCode makes it easier to choose the right AI model for every task! Learn how Language Model Providers make it easy to connect local models, configure BYOK providers, and customize your AI experience.
4:32

⚡ VSCode makes it easier to choose the right AI model for every task! Learn how Language Model Providers make it easy to connect local models, configure BYOK providers, and customize your AI experience.

Visual Studio Code

34,709 просмотров • 28 дней назад

Introducing SWE-grep and SWE-grep-mini: Cognition’s model family for fast agentic search at >2,800 TPS. Surface the right files to your coding agent 20x faster. Now rolling out gradually to Windsurf users via the Fast Context subagent – or try it in our new playground!
0:28

Introducing SWE-grep and SWE-grep-mini: Cognition’s model family for fast agentic search at >2,800 TPS. Surface the right files to your coding agent 20x faster. Now rolling out gradually to Windsurf users via the Fast Context subagent – or try it in our new playground!

Cognition

663,797 просмотров • 9 месяцев назад

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:
3:08

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,332 просмотров • 9 месяцев назад

Introducing Skills in SciSpace Agent. Specialized modes built for specific research workflows. Describe the task, and the right workflow activates automatically. Yes, the right Skill gets loaded based on what you need. Built to simplify multi-step research work and reduce friction around execution. Skills are now live. Try it inside SciSpace Agent.
0:40

Introducing Skills in SciSpace Agent. Specialized modes built for specific research workflows. Describe the task, and the right workflow activates automatically. Yes, the right Skill gets loaded based on what you need. Built to simplify multi-step research work and reduce friction around execution. Skills are now live. Try it inside SciSpace Agent.

SciSpace

43,422 просмотров • 5 месяцев назад

LM Studio is the most popular way to run open-source LLMs on your own hardware. Your Hermes Agent now runs natively on LM Studio: auto-discovering your models, loading them on demand with the right context size, and using the right reasoning level for each model.
0:25

LM Studio is the most popular way to run open-source LLMs on your own hardware. Your Hermes Agent now runs natively on LM Studio: auto-discovering your models, loading them on demand with the right context size, and using the right reasoning level for each model.

Nous Research

186,253 просмотров • 3 месяцев назад

NEW: "If your business model can’t handle a -80% Bitcoin drawdown, rework your business model right now, because I think we’re getting toward the very shaky ground of the top and the fall from it," says Saifedean Ammous.
1:45

NEW: "If your business model can’t handle a -80% Bitcoin drawdown, rework your business model right now, because I think we’re getting toward the very shaky ground of the top and the fall from it," says Saifedean Ammous.

Bitcoin News

138,764 просмотров • 1 год назад

The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.
0:55

The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.

Cognition

391,602 просмотров • 3 месяцев назад

Building a machine learning model isn’t just about finding the right algorithm—it’s about the right process. In Machine Learning in Production, Andrew Ng breaks down the iterative loop of model development: training, error analysis, refining hyperparameters, and improving data. Getting to a high test set accuracy is one thing, but aligning your model with real-world business metrics? That’s where the real challenge begins. Learn how to bridge the gap between models and impact:
1:19

Building a machine learning model isn’t just about finding the right algorithm—it’s about the right process. In Machine Learning in Production, Andrew Ng breaks down the iterative loop of model development: training, error analysis, refining hyperparameters, and improving data. Getting to a high test set accuracy is one thing, but aligning your model with real-world business metrics? That’s where the real challenge begins. Learn how to bridge the gap between models and impact:

DeepLearning.AI

45,248 просмотров • 1 год назад

Introducing Passport by Adaptive. Your agent can now sign up for accounts on your behalf and acquire API keys, service credentials, and other things that it might need — without user intervention. Here, it acquires an API key from FRED (Federal Reserve Economic Data) to build an accurate and continuously syncing model for the price of gold.
1:05

Introducing Passport by Adaptive. Your agent can now sign up for accounts on your behalf and acquire API keys, service credentials, and other things that it might need — without user intervention. Here, it acquires an API key from FRED (Federal Reserve Economic Data) to build an accurate and continuously syncing model for the price of gold.

Adaptive

38,365 просмотров • 3 месяцев назад

Perplexity users, this one's for you. The Ramp MCP is live and brings you 50+ tools to bring all your Ramp data right into your research workflow. Try it out:
0:25

Perplexity users, this one's for you. The Ramp MCP is live and brings you 50+ tools to bring all your Ramp data right into your research workflow. Try it out:

Ramp

44,357 просмотров • 1 месяц назад

We’ve never seen a 7B model get the famous Sally test right, let alone a 3.8B model. 💪Even the Llama 3 8B Instruct model fails this test. Coming 🔜 to your 📱
0:20

We’ve never seen a 7B model get the famous Sally test right, let alone a 3.8B model. 💪Even the Llama 3 8B Instruct model fails this test. Coming 🔜 to your 📱

Private LLM

36,953 просмотров • 2 лет назад

Stop hardcoding one model name in your code. Now you can give each request a policy: a small rule for what the call needs It picks the right model for the job, on your own keys This is unhardcoded, our new open source routing for AI models, live today
0:47

Stop hardcoding one model name in your code. Now you can give each request a policy: a small rule for what the call needs It picks the right model for the job, on your own keys This is unhardcoded, our new open source routing for AI models, live today

GenLayer

93,942 просмотров • 1 месяц назад

Your coding agent does more than write code. It ships the launch video. Drop HeyGen's MCP server into Cursor, point it at your README, and it builds a finished product video from one prompt - pulling your features and pricing straight from the repo. No filming, no editing.
2:11

Your coding agent does more than write code. It ships the launch video. Drop HeyGen's MCP server into Cursor, point it at your README, and it builds a finished product video from one prompt - pulling your features and pricing straight from the repo. No filming, no editing.

HeyGen

486,197 просмотров • 1 месяц назад

MCP connectors are now available in Basedash. Basedash already reads from your databases and SaaS tools. Now it can act on them too. Connect any MCP server (Linear, HubSpot, Slack, Resend, Notion, GitHub, your own internal one) and the Basedash agent gets new tools it can use right inside chat. Try it today.
0:29

MCP connectors are now available in Basedash. Basedash already reads from your databases and SaaS tools. Now it can act on them too. Connect any MCP server (Linear, HubSpot, Slack, Resend, Notion, GitHub, your own internal one) and the Basedash agent gets new tools it can use right inside chat. Try it today.

Basedash

11,138 просмотров • 2 месяцев назад