AB M @abdelmehdi_ab
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🧠: “Let’s but this (text)book! Nice and now… instead of reading it… let’s buy another one!” 💡 All of the dopamine is generated only at the point of resolving to read something. After that there is no juice left 😅
gpt-4 now significantly smarter and more pleasant to use
the greatest value is built through the most difficult — and often underappreciated — work
When debugging an opaque problem in a system, a nice strategy is to just focus on adding permanent (rather than temporary) metrics or logging to make the problem obvious. Often makes it easy to solve not just the specific issue but also a whole class of potential related issues.
OpenAI Japan — こんにちは!
Introducing the Batch API: save costs and get higher rate limits on async tasks (such as summarization, translation, and image classification). Just upload a file of bulk requests, receive results within 24 hours, and get 50% off API prices: platform.openai.com/docs/api-refer…
Introducing Projects in the API dashboard—a granular way to manage individual projects with the ability to scope roles, generate API keys, set billing and usage restrictions, and more. help.openai.com/en/articles/91…
We've just launched Projects — giving developers much more fine-grained control over permissions:
We've just launched Projects — giving developers much more fine-grained control over permissions:
New: GPT-4 128k is now available as a base for prompt bots! The longer context window coupled with the power of the latest GPT-4 update should enable a variety of new use cases. Enjoy!
The past was often better. And the future can be brighter. The problem is the present. Because dystopia isn’t futuristic VC. Dystopia is today’s DC. That’s why both traditionalists and technologists stand against the current thing.
The past was often better. And the future can be brighter. The problem is the present. Because dystopia isn’t futuristic VC. Dystopia is today’s DC. That’s why both traditionalists and technologists stand against the current thing.
Boom! Run an open source 64K tokens context length on your laptop. No internet and YOU OWN IT. Meet CodeQwen-1.5-7B-Chat 7 billion parameters coding chat model (~5GB RAM needed) Model: huggingface.co/Qwen/Qwen1.5-7…
The print version of "Machine Learning Q and AI" was finally released today! (If you watched this video until the end, there was a little surprise in there -- it's based on chapter 10). So, if you liked this content, the book has 29 more chapters on machine learning and AI... 😊
The print version of "Machine Learning Q and AI" was finally released today! (If you watched this video until the end, there was a little surprise in there -- it's based on chapter 10). So, if you liked this content, the book has 29 more chapters on machine learning and AI... 😊 https://t.co/I6tgSpeKSk
This looks absolutely brilliant. 🔥 From @predibase "LoRA Land, a collection of 25 fine-tuned Mistral-7b models that consistently outperform base models by 70% and GPT-4 by 4-15%, depending on the task. LoRA Land’s 25 task-specialized large language models (LLMs) were all…
Announcing the alpha release of torchtune! torchtune is a PyTorch-native library for fine-tuning LLMs. It combines hackable memory-efficient fine-tuning recipes with integrations into your favorite tools. Get started fine-tuning today! Details: hubs.la/Q02t214F0
[Update] Arena new players! - reka-flash & reka-flash-online by @RekaAILabs - zephyr-orpo-141b-A35b-v0.1 by @MistralAI @huggingface - gemma-1.1-2b-it by @Google Challenge them all with your toughest prompt and vote for your favorite! Exciting week ahead, stay tuned for more…
Now on Databricks Runtime 14.3: the State Reader API, a new capability that allows users to access and analyze #StructuredStreaming's internal state data. Discover how this new capability is providing transparency, accessibility, and ease of use: dbricks.co/3UeoF6l
Read @rasbt's new book (chapters still in progress) free online: "Build a Large Language Model (From Scratch)" at manning.com/books/build-a-… + See the link in his post below for access to the GitHub repo — #LLMs #AI #GenerativeAi #MachineLearning #DeepLearning #DataScience #Coding
Read @rasbt's new book (chapters still in progress) free online: "Build a Large Language Model (From Scratch)" at manning.com/books/build-a-… + See the link in his post below for access to the GitHub repo — #LLMs #AI #GenerativeAi #MachineLearning #DeepLearning #DataScience #Coding https://t.co/xWC6lEuBw0
Check out this 7-part tutorial series by @ravithejads on an introduction to agents. Agents can be really complicated, but if you're trying to get a basic handle of what agents are and how to use them, this is a great intro. ✅ Learn how basic agent implementations work…
Check out this 7-part tutorial series by @ravithejads on an introduction to agents. Agents can be really complicated, but if you're trying to get a basic handle of what agents are and how to use them, this is a great intro. ✅ Learn how basic agent implementations work… https://t.co/JNtzgb8IXL
Our most capable model, Claude 3 Opus, is now generally available on Amazon Bedrock. Alongside Sonnet and Haiku, Opus provides businesses with exceptional intelligence, fluency, and reasoning capabilities. Get started today: aws.amazon.com/bedrock/claude/
Our most capable model, Claude 3 Opus, is now generally available on Amazon Bedrock. Alongside Sonnet and Haiku, Opus provides businesses with exceptional intelligence, fluency, and reasoning capabilities. Get started today: aws.amazon.com/bedrock/claude/
The official WizardLM 8x22B was removed from HuggingFace, and the blog post link is 404ing. What is going on?
Abbigail Mack @abbigail_m12142
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gpt-4 now significantly smarter and more pleasant to use
Our new GPT-4 Turbo is now available to paid ChatGPT users. We’ve improved capabilities in writing, math, logical reasoning, and coding. Source: github.com/openai/simple-…
the greatest value is built through the most difficult — and often underappreciated — work
When debugging an opaque problem in a system, a nice strategy is to just focus on adding permanent (rather than temporary) metrics or logging to make the problem obvious. Often makes it easy to solve not just the specific issue but also a whole class of potential related issues.
OpenAI Japan — こんにちは!
Introducing OpenAI Japan, our first office in Asia, along with a new GPT-4 custom model specifically optimized for 日本語 (the Japanese language). openai.com/blog/introduci…
Introducing the Batch API: save costs and get higher rate limits on async tasks (such as summarization, translation, and image classification). Just upload a file of bulk requests, receive results within 24 hours, and get 50% off API prices: platform.openai.com/docs/api-refer…
@OpenAIDevs Release GPT-5 now.
Introducing Projects in the API dashboard—a granular way to manage individual projects with the ability to scope roles, generate API keys, set billing and usage restrictions, and more. help.openai.com/en/articles/91…
We've just launched Projects — giving developers much more fine-grained control over permissions:
Introducing Projects in the API dashboard—a granular way to manage individual projects with the ability to scope roles, generate API keys, set billing and usage restrictions, and more. help.openai.com/en/articles/91…
New: GPT-4 128k is now available as a base for prompt bots! The longer context window coupled with the power of the latest GPT-4 update should enable a variety of new use cases. Enjoy!
The past was often better. And the future can be brighter. The problem is the present. Because dystopia isn’t futuristic VC. Dystopia is today’s DC. That’s why both traditionalists and technologists stand against the current thing.
Something we've been talking about a lot at Synthesis is how to clearly communicate our values to parents. This slide captures it pretty well. Study the past — The older I get, and the more I watch Wokeism/Communism destroy our institutions, the more I realize the value in…
Boom! Run an open source 64K tokens context length on your laptop. No internet and YOU OWN IT. Meet CodeQwen-1.5-7B-Chat 7 billion parameters coding chat model (~5GB RAM needed) Model: huggingface.co/Qwen/Qwen1.5-7…
The print version of "Machine Learning Q and AI" was finally released today! (If you watched this video until the end, there was a little surprise in there -- it's based on chapter 10). So, if you liked this content, the book has 29 more chapters on machine learning and AI... 😊
When doing machine learning and AI research (or writing books), making the code reproducible is usually desirable. Often, that's easier said than done! So, I recorded a video illustrating and dealing with 6 sources of randomness that occur when training deep neural networks and…
This looks absolutely brilliant. 🔥 From @predibase "LoRA Land, a collection of 25 fine-tuned Mistral-7b models that consistently outperform base models by 70% and GPT-4 by 4-15%, depending on the task. LoRA Land’s 25 task-specialized large language models (LLMs) were all…
Announcing the alpha release of torchtune! torchtune is a PyTorch-native library for fine-tuning LLMs. It combines hackable memory-efficient fine-tuning recipes with integrations into your favorite tools. Get started fine-tuning today! Details: hubs.la/Q02t214F0
[Update] Arena new players! - reka-flash & reka-flash-online by @RekaAILabs - zephyr-orpo-141b-A35b-v0.1 by @MistralAI @huggingface - gemma-1.1-2b-it by @Google Challenge them all with your toughest prompt and vote for your favorite! Exciting week ahead, stay tuned for more…
Many congratulations to our CEO @demishassabis and colleague John Jumper at @GoogleDeepMind, who were honoured this weekend with a Breakthrough Prize in Life Sciences for their work on AlphaFold. Read more here: bit.ly/3UhPlmO #AI #machinelearning
Now on Databricks Runtime 14.3: the State Reader API, a new capability that allows users to access and analyze #StructuredStreaming's internal state data. Discover how this new capability is providing transparency, accessibility, and ease of use: dbricks.co/3UeoF6l
Read @rasbt's new book (chapters still in progress) free online: "Build a Large Language Model (From Scratch)" at manning.com/books/build-a-… + See the link in his post below for access to the GitHub repo — #LLMs #AI #GenerativeAi #MachineLearning #DeepLearning #DataScience #Coding
And here's a link to the GitHub repository if you want to take a sneak peak at the code: github.com/rasbt/LLMs-fro…
Check out this 7-part tutorial series by @ravithejads on an introduction to agents. Agents can be really complicated, but if you're trying to get a basic handle of what agents are and how to use them, this is a great intro. ✅ Learn how basic agent implementations work…
We’re excited to release a brand-new tutorial series 💫 : an introduction to agents and tools 🎬🤖 There’s a lot of well-deserved interest around agents, but there’s also a lot of ambiguity about core agent interfaces and applications. This short course is the perfect beginner…