Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Introducing OpenChatKit 🚀 - The first open-source alternative to ChatGPT! A team of ex-OpenAI fellows at Together have released a 20B chat-GPT model, fine-tuned for chat using EleutherAI's GPT-NeoX-20B, with over 43 million instructions under the Apache-2.0 license. >>>

Itamar Golan 🤓

25,023 subscribers

555,517 views • 3 years ago •via X (Twitter)

Science & Technology Education

Anya Rossi• Live Now

Private livecam show

10 Comments

Itamar Golan 🤓3 years ago

This instruction-tuned large language model has been optimized for chat on 100% carbon-negative compute. OpenChatKit includes four essential components: >>>

Itamar Golan 🤓3 years ago

- An instruction-tuned large language model, fine-tuned for chat using EleutherAI's GPT-NeoX-20B with over 43 million instructions on carbon-negative compute. - Customization recipes that help fine-tune the model to deliver high accuracy results for specific tasks.

Itamar Golan 🤓3 years ago

- An extensible retrieval system that allows you to add information from a document repository, API or other live-updating information sources at inference time. - A moderation model, fine-tuned from GPT-JT-6B, that filters which questions the bot responds to. Holy cow!!! 🐄

Itamar Golan 🤓3 years ago

Github - Demo -

Itamar Golan 🤓3 years ago

Follow on Patreon for Unique & Daily AI content-

we are here because we are here because we are -3 years ago

How is it different from ChatGPT? Please explain to me like I'm 5.

Itamar Golan 🤓3 years ago

You have access to the model's weights and training data.

Djamé..3 years ago

things are going way too fast these days...

Itamar Golan 🤓3 years ago

Enjoy the ride 😎

AgenticApp.com3 years ago

Congrats to the team at Together for releasing OpenChatKit, Keep up the great work!

Related Videos

Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source

Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source

Chroma

1,117,099 views • 4 months ago

Introducing `gpt-oss Pro Mode`! Basically o3 Pro, but for the new OpenAI open source models :) Pro Mode chains together up to 10 instances of the new OpenAI GPT-OSS model, enabling it to produce a better answer than one instance alone could create! Open source, link here:

Introducing `gpt-oss Pro Mode`! Basically o3 Pro, but for the new OpenAI open source models :) Pro Mode chains together up to 10 instances of the new OpenAI GPT-OSS model, enabling it to produce a better answer than one instance alone could create! Open source, link here:

Matt Shumer

315,683 views • 11 months ago

Today’s a big day! We have something really exciting to share with the open-source community. We’re launching two open-weight language models: gpt-oss-120b and gpt-oss-20b. They’re incredible models, built for developers, trained for reasoning, efficiency, and real-world use.🧵

Today’s a big day! We have something really exciting to share with the open-source community. We’re launching two open-weight language models: gpt-oss-120b and gpt-oss-20b. They’re incredible models, built for developers, trained for reasoning, efficiency, and real-world use.🧵

Romain Huet

34,189 views • 11 months ago

OpenAI has finally released GPT OSS 20B!! This is probably the most powerful model you can run locally on a laptop. → Only 3.6B active parameters → Adjustable "Reasoning Effort" → Works with 16GB of RAM! Quick steps to use it 100% free and offline:

OpenAI has finally released GPT OSS 20B!! This is probably the most powerful model you can run locally on a laptop. → Only 3.6B active parameters → Adjustable "Reasoning Effort" → Works with 16GB of RAM! Quick steps to use it 100% free and offline:

Paul Couvert

595,592 views • 11 months ago

Today we’re releasing a research preview of GPT-4.5—our largest and best model for chat yet. Rolling out now to all ChatGPT Pro users, followed by Plus and Team users next week, then Enterprise and Edu users the following week.

Today we’re releasing a research preview of GPT-4.5—our largest and best model for chat yet. Rolling out now to all ChatGPT Pro users, followed by Plus and Team users next week, then Enterprise and Edu users the following week.

OpenAI

2,750,711 views • 1 year ago

GPT-Image-2 was just released... It's the best image model (By a wide margin) Heres how to use GPT-Image-2 in ChatGPT, OpenAI Playground and of Course - Codex. TIMESTAMPS 00:00 Intro 01:27 Initial Tests of GPT-Image-2 02:24 It can GENERATE working BARCODES? 03:40 11 Edits one Prompt 06:40 Creating Cartoons 07:40 Overlay Explanations 08:50 How to Get Started 10:51 IPhone Mockup Images (Amazing) 15:43 Using GPT-Image in OpenAI Playground 16:11 Generate images in 4k 17:44 The FIRST limitation... Its bad at counting 18:26 Using GPT-Image in Codex (Agentic Image Gen)

GPT-Image-2 was just released... It's the best image model (By a wide margin) Heres how to use GPT-Image-2 in ChatGPT, OpenAI Playground and of Course - Codex. TIMESTAMPS 00:00 Intro 01:27 Initial Tests of GPT-Image-2 02:24 It can GENERATE working BARCODES? 03:40 11 Edits one Prompt 06:40 Creating Cartoons 07:40 Overlay Explanations 08:50 How to Get Started 10:51 IPhone Mockup Images (Amazing) 15:43 Using GPT-Image in OpenAI Playground 16:11 Generate images in 4k 17:44 The FIRST limitation... Its bad at counting 18:26 Using GPT-Image in Codex (Agentic Image Gen)

Riley Brown

35,856 views • 3 months ago

We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.

We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.

Databricks

10,132 views • 11 months ago

DeepSeek released R1, the best open-source reasoning model that is on par with OpenAI's o1! I have built a RAG app to chat with your PDF files using the DeepSeek R1 model, running locally on your computer. 100% Open Source

DeepSeek released R1, the best open-source reasoning model that is on par with OpenAI's o1! I have built a RAG app to chat with your PDF files using the DeepSeek R1 model, running locally on your computer. 100% Open Source

Sumanth

678,638 views • 1 year ago

You can now fine-tune Llama 3 without writing a single line of code! We are moving at breakneck speed. I recorded a video to show you how to fine-tune any open-source model in a few minutes. I'm using a GPT capable of taking a problem and turning it into a fine-tuned model that will solve it. You don't have to write any code. You only need to explain to a GPT what problem you want to solve and tell it you want to use Llama 3. For example, "fine-tune Llama 3" or "deploy zephyr." It feels magic. The system will recommend a dataset and fine-tune the model for you. I'm using Monster API, a platform that specializes in making fine-tuning and deploying open-source models easy and fast. Their stack is well-optimized to maximize fine-tuning efficiency using techniques like Q-Lora and vLLM. They are behind the GPT. Here is what you need to do: 1. Create an account at 2. Load the GPT with the link below This is as simple as it gets. When you are done, you can click a button to deploy the model and start using it. I have 10,000 free credits for anyone using the code "SANTIAGO" in the dashboard. You can use these credits to access, fine-tune, and deploy these open-source models. You can also keep up with their latest updates, and get free credits and special offers on their Discord server:

You can now fine-tune Llama 3 without writing a single line of code! We are moving at breakneck speed. I recorded a video to show you how to fine-tune any open-source model in a few minutes. I'm using a GPT capable of taking a problem and turning it into a fine-tuned model that will solve it. You don't have to write any code. You only need to explain to a GPT what problem you want to solve and tell it you want to use Llama 3. For example, "fine-tune Llama 3" or "deploy zephyr." It feels magic. The system will recommend a dataset and fine-tune the model for you. I'm using Monster API, a platform that specializes in making fine-tuning and deploying open-source models easy and fast. Their stack is well-optimized to maximize fine-tuning efficiency using techniques like Q-Lora and vLLM. They are behind the GPT. Here is what you need to do: 1. Create an account at 2. Load the GPT with the link below This is as simple as it gets. When you are done, you can click a button to deploy the model and start using it. I have 10,000 free credits for anyone using the code "SANTIAGO" in the dashboard. You can use these credits to access, fine-tune, and deploy these open-source models. You can also keep up with their latest updates, and get free credits and special offers on their Discord server:

Santiago

324,602 views • 2 years ago

GPT-4o was a whole team effort. Huge credit especially to Prafulla Dhariwal for the conviction to build an omni model, and helping see it through collaboration with many teams at OpenAI over the past 18 months. Also, he's excellent at trivia:

GPT-4o was a whole team effort. Huge credit especially to Prafulla Dhariwal for the conviction to build an omni model, and helping see it through collaboration with many teams at OpenAI over the past 18 months. Also, he's excellent at trivia:

Greg Brockman

351,163 views • 2 years ago

Introducing `gpt-author` 📕✍️ One prompt -> an entire fantasy novel! Just describe the high-level details, and a chain of AI systems will write an entire book for you in minutes. - complete w/ cover art - export to Kindle store And it's open-source:

Introducing `gpt-author` 📕✍️ One prompt -> an entire fantasy novel! Just describe the high-level details, and a chain of AI systems will write an entire book for you in minutes. - complete w/ cover art - export to Kindle store And it's open-source:

Matt Shumer

2,101,780 views • 3 years ago

Introducing `gpt-author v2` 📕✍️ One prompt -> an entire fantasy novel! Just describe the high-level details, and a chain of AI systems will write an entire book for you in minutes. - complete w/ cover art - export to ebook format And it's open-source:

Introducing `gpt-author v2` 📕✍️ One prompt -> an entire fantasy novel! Just describe the high-level details, and a chain of AI systems will write an entire book for you in minutes. - complete w/ cover art - export to ebook format And it's open-source:

Matt Shumer

276,531 views • 2 years ago

🔥🚨BREAKING: There are now reports of Chat GPT ‘glorifying Satan’ and being accused of giving users instructions to mutilate theirselves for demonic rituals, and murder for ‘Pagan rituals.’ A journalist said that after asking the AI about Molech a biblical demon associated with child sacrifice ChatGPT offered step-by-step instructions.

🔥🚨BREAKING: There are now reports of Chat GPT ‘glorifying Satan’ and being accused of giving users instructions to mutilate theirselves for demonic rituals, and murder for ‘Pagan rituals.’ A journalist said that after asking the AI about Molech a biblical demon associated with child sacrifice ChatGPT offered step-by-step instructions.

Dom Lucre | Breaker of Narratives

226,194 views • 1 year ago

🔻My First GPT-4 Project 🔻 I can chat with thousands of pages fast and affordably. How? Let's try with the latest World Economic Forum report (2023 April) Built with OpenAI, Pinecone and 1. Upload the PDF and divide its text into chunks. 2. Store the embeddings in your VectorStore. 3. Connect your Chat GPT-4 and restrict it to providing answers solely from the given document. It's truly a game-changer for a no-coder.

🔻My First GPT-4 Project 🔻 I can chat with thousands of pages fast and affordably. How? Let's try with the latest World Economic Forum report (2023 April) Built with OpenAI, Pinecone and 1. Upload the PDF and divide its text into chunks. 2. Store the embeddings in your VectorStore. 3. Connect your Chat GPT-4 and restrict it to providing answers solely from the given document. It's truly a game-changer for a no-coder.

Muratcan Koylan

492,557 views • 3 years ago

Sam Altman on the Paul Graham advice that saved Open AI: “Always make an API” Four years into OpenAI, Sam Altman and the team realized that they would have to build a really big company to fund the development of their increasingly capital-intensive foundation models. “We had this model called GPT-3,” Sam recalls. “I was turning up the urgency on the company to try and figure out a product, and we just couldn’t. It was cool, but it wasn’t good enough to make something that worked.” Then Sam remembered a piece of advice from Y Combinator founder Paul Graham that stuck with him: “You should always make an API. No matter what, you should make an API. Good stuff will happen.” Out of ideas for a product, the OpenAI team decided to make GPT-3 available as an API. “Maybe somebody will figure out something to do with it,” Sam thought. A few copywriting applications like Jasper and Copy AI did take off using the GPT-3 API, but OpenAI also noticed interesting behavior that eventually became a sleeper hit: “Some people — not a lot — would just chat with that thing all day,” Sam explains. “It wasn’t very good but there was clear user signal that people wanted to talk to the models. And given that that was the only thing besides copywriting that had real traction, we said, ‘Maybe this is just he product we should build.’” On November 30, 2022, ChatGPT was released to the public as a “research preview” using a model from the GPT-3.5 series. It reached over a million users in five days. Video source: Khosla Ventures (2025)

Sam Altman on the Paul Graham advice that saved Open AI: “Always make an API” Four years into OpenAI, Sam Altman and the team realized that they would have to build a really big company to fund the development of their increasingly capital-intensive foundation models. “We had this model called GPT-3,” Sam recalls. “I was turning up the urgency on the company to try and figure out a product, and we just couldn’t. It was cool, but it wasn’t good enough to make something that worked.” Then Sam remembered a piece of advice from Y Combinator founder Paul Graham that stuck with him: “You should always make an API. No matter what, you should make an API. Good stuff will happen.” Out of ideas for a product, the OpenAI team decided to make GPT-3 available as an API. “Maybe somebody will figure out something to do with it,” Sam thought. A few copywriting applications like Jasper and Copy AI did take off using the GPT-3 API, but OpenAI also noticed interesting behavior that eventually became a sleeper hit: “Some people — not a lot — would just chat with that thing all day,” Sam explains. “It wasn’t very good but there was clear user signal that people wanted to talk to the models. And given that that was the only thing besides copywriting that had real traction, we said, ‘Maybe this is just he product we should build.’” On November 30, 2022, ChatGPT was released to the public as a “research preview” using a model from the GPT-3.5 series. It reached over a million users in five days. Video source: Khosla Ventures (2025)

Startup Archive

219,278 views • 10 months ago

A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.

A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.

kwindla

202,147 views • 11 months ago

🇺🇸 NEW: CHATGPT CAN TALK TO YOUR FAVORITE APPS OpenAI says you can now chat with your favorite apps directly inside ChatGPT. Ask for a playlist, and Spotify makes one. Need a house? Zillow shows listings. Want a design or diagram? Canva and Figma hop right in. It’s like having a bunch of apps work together in one chat, turning ChatGPT into a full-on digital command center. The update is part of OpenAI’s push to make AI tools actually useful in everyday life, not just for writing essays. Source: OpenAI

🇺🇸 NEW: CHATGPT CAN TALK TO YOUR FAVORITE APPS OpenAI says you can now chat with your favorite apps directly inside ChatGPT. Ask for a playlist, and Spotify makes one. Need a house? Zillow shows listings. Want a design or diagram? Canva and Figma hop right in. It’s like having a bunch of apps work together in one chat, turning ChatGPT into a full-on digital command center. The update is part of OpenAI’s push to make AI tools actually useful in everyday life, not just for writing essays. Source: OpenAI

Mario Nawfal

249,501 views • 9 months ago

Shoutout to xAI team for hustling at 2:00 am to help bring this over the finish line Introducing Agent Runner: the first open-source agent harness run with real users to create a live benchmark of real-world coding We trace tool-calls, reprompting, and multifile edits, starting with the best from OpenAI, xAI, Google DeepMind, Anthropic, Mistral AI, Z.ai, Kimi.ai

Shoutout to xAI team for hustling at 2:00 am to help bring this over the finish line Introducing Agent Runner: the first open-source agent harness run with real users to create a live benchmark of real-world coding We trace tool-calls, reprompting, and multifile edits, starting with the best from OpenAI, xAI, Google DeepMind, Anthropic, Mistral AI, Z.ai, Kimi.ai

Grace Li

119,237 views • 8 months ago

Today we're introducing the Chat SDK project, a formalization of our successful chat⁠.vercel⁠.ai template. Our goal is to open source the best practices and building blocks for building the next ChatGPT and v0-like UIs. It supports artifacts / canvas, code interpreting, and of course it's based on AI SDK. Excited to keep improving its capabilities together with the community.

Today we're introducing the Chat SDK project, a formalization of our successful chat⁠.vercel⁠.ai template. Our goal is to open source the best practices and building blocks for building the next ChatGPT and v0-like UIs. It supports artifacts / canvas, code interpreting, and of course it's based on AI SDK. Excited to keep improving its capabilities together with the community.

Guillermo Rauch

127,117 views • 1 year ago