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In case you missed it, last week's paper reading is now up on the YouTube Channel 👉youtu.be/QyaqA1firaQ
In case you missed it, last week's paper reading is now up on the YouTube Channel 👉youtu.be/QyaqA1firaQ
Happy Monday! Don't forget to sign up for tomorrow's webinar in collaboration with Laminar 😎🤖
📢 Join us for the next installment in our Weekly Webinar Series, in collaboration with Laminar!✨ Learn how to efficiently build and deploy your Unify Pipeline with ease on Laminar's no-code platform 🤖 ⚡Sign up👉lu.ma/UnifyxLaminar ⚡Check out Laminar:…
Happy Friday ✌️ Don't forget you can compare all the new models released this week on our new chat interface for free! Try it out here👉unify.ai/chat
Don't forget to sign up for our paper reading session tomorrow! ✨ It's gonna be a good one ✌️
Whoop Whoop 🙌 @AIatMeta
Webinar 01 of our Weekly Webinar Series is up on the Unify YouTube channel in case you missed it! ✨ This week @DanielLenton1 showcased how you can build a chatbot using the Unify API and went in-depth on when to use synchronous and asynchronous clients 🤖 Check it out -…
Paper Reading Announcement 📢 This week we are joined by @gu_yuxian who is presenting his work - Knowledge Distillation of Large Language Models. This paper presents a knowledge distillation approach tailored for language models, utilizing reverse Kullback-Leibler divergence…
Now this is cool 😎 Hats off to the @RekaAILabs team on an awesome demo!
Now this is cool 😎 Hats off to the @RekaAILabs team on an awesome demo!
Snehil Sanyal @snehilsanyal
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First @nvidia DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":
⚡ LangSmith Evaluations: RAG Evaluation (Answer Hallucinations) ⚡ Evaluations can accelerate LLM app development, but it can be challenging to get started. We've kicked off a new video series focused on evaluations in LangSmith. This is the 13th video in our series, focusing…
Build a UX for your LLM chatbot/agent that not only includes streaming, but also showcases sources as expandable UI elements 📖🔎, similar to @perplexity_ai! Now possible in one-line of code through create-llama. Amazing work by @MarcusSchiesser 💫 Check it out:…
Use `npx create-llama` to quickly create RAG applications using @llama_index. Now, you can show the sources of the retrieved context (think of @perplexity_ai). Watch the video below to see the feature in action. 📃 Code: github.com/run-llama/crea…
Unsloth is currently trending on Github! 🙌🦥 If you want to finetune LLMs like Llama 3 or Mistral, now is a good time to try!⭐️ github.com/unslothai/unsl…
SoTA LLMs typically exhibit 99%+ non-zero activations, but it turns out that they are still intrinsically quite sparse! We introduce CATS, a simple post-training technique that achieves 50% activation sparsity for MLP layers with almost no drop in downstream evals, while…
Absolutely stunning. Llama-3 8B was the most powerful small AI model a few hours ago. Microsoft has just released Phi-3 Mini which is better in almost every benchmark. You can use it locally for free as it's open-source (details below):
Self-Evolution of LLMs Provides a comprehensive survey on self-evolution approaches in LLMs. I often get asked what's next for LLMs? I think it might be self-evolution or something closely related to this emerging paradigm. There is still a lot to solve if you look…
Want to run Phi-3 on your laptop? @ollama has got you with day 0 support as usual! Check out this quick notebook showing completely local RAG using LlamaIndex and Ollama: colab.research.google.com/drive/1RoZzbL8… And Ollama's announcement tweet: x.com/ollama/status/…
Phi-3 Mini (3.8B) from @Microsoft was released today, claiming to match Llama 3 8B's performance! But how does it handle RAG, Routing, Query Planning, Text2SQL, Pydantic Program, and Agentic tasks? Thanks to @ravithejads, our benchmark cookbook offers an initial analysis: ✅ RAG…
Fully local RAG with Llama 3 on @ollama & @streamlit Learn how to: 🦙Run Llama 3 using @ollama 📄Add Website & PDFs to a knowledge base 💻Build an AI App using @streamlit 🏬Store chat history in a database @PostgreSQL YT: youtu.be/-8NVHaKKNkM
Fine-tuning Embedding Models for RAG with LoRA 💡 This is a great tutorial (by Mariboo) showcasing how to cleverly subclass @llama_index finetuning abstractions to finetune any @huggingface embedding model with LoRA weights, which you can then plug in as a crucial step of any…
Build RAG using totally open and free components! We love this blog post from @elastic that uses @ollama and @MistralAI to show how to put together a RAG application with LlamaIndex using entirely free software. elastic.co/search-labs/bl…
Emerging AI Agent Architectures Researchers from IBM and Microsoft present this concise summary of emerging AI agent architectures. It focuses the discussion on capabilities like reasoning, planning, and tool calling which are all needed to build complex AI-powered agentic…
Introducing Meta Llama 3: the most capable openly available LLM to date. Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes. Today's release includes the first two Llama 3…
Mixtral 8x22B Instruct is now the highest quality open-source model! We have benchmarked its efficient architecture as achieving ~80 tokens/s throughput (~4X GPT-4 Turbo) With only 39B active parameters per forward pass, and 141B total, it is an extremely efficient model that…
The latest model from @MistralAI, the hugely powerful 8x22b, defines the state of the art in open models and is now available! As usual, we have day 0 support: check out @ravithejads's Mistral cookbook showing ➡️ RAG ➡️ Query routing ➡️ Tool use docs.llamaindex.ai/en/latest/exam…
Prompt engineering is a key part of getting better responses from Large Language Models. The particular wording of the instructions and examples can determine the fate of the performance 😵💫 DSPy Compilers simplify the process of writing the perfect prompt! In this blog post,…
We promise this is not a person in a bodysuit. bit.ly/3w5XRvH
Trying @weaviate_io and DSPy with @WizardLM_AI (of course power by @ollama) lets see if wizardlm2 7b can make structured output @CShorten30
Official now, very proud of the team! Apache 2.0 and instructed versions for your pleasure, available today on la Plateforme mistral.ai/news/mixtral-8…
Mixtral 8x22B sets a new standard for performance and efficiency for the AI community. Apache 2.0. mistral.ai/news/mixtral-8…