@Meta dropped #Llama 3.1 405B, rivaling top models! OpenAI introduced GPT-4o mini, and @xai unveiled the Memphis Supercluster. @Apple
’s new AI models are now on @huggingface
. More details inside. #AI #Meta #OpenAI #Apple
OPEN SOURCE
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Meta Llama 3.1, OpenAI GPT-4o mini, and Apple AI models announced
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Meta publishes comprehensive Llama 3 research paper
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As part of our support of open science, we've published the full Llama 3 research paper covering a range of topics.
• Model training
• Model architecture
• Results of our ongoing work on integrating image/video/speech capabilities
• Much more Paper https://
go.fb.me/l5f55z -
Benchmark Saturation Drives Need for Better AI Evaluation Metrics
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Alternative explanation: the asymptote is due to the benchmark saturating. We need better benchmarks! But of course, there is no doubt that both open weights and closed models are pushing the envelope quite drastically. Fun times!
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Setting Up RAG System with Clarifai and Llama 3.1
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Step 2: Import the RAG class and set up the RAG system by passing your Clarifai App URL and the Llama 3.1 8B instruct model URL from the community. Create a Clarifai app and get your App URL. Here is the model URL: https://
clarifai.com/meta/Llama-3/m
odels/llama-3_1-8b-instruct
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Install Clarifai SDK Llama-index and Configure Personal Access Token
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Step 1: Install the Clarifai Python SDK, Llama-index, and set your Clarifai Personal Access Token as an environment variable. Sign up for the platform, and you can access the PAT here: https://
clarifai.com/settings/secur
ity
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Build RAG System in 4 Lines with Clarifai SDK
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You can build a RAG system with just 4 lines of code using @clarifai Python SDK. Below is the entire code. Let's look at it step by step:
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Build RAG LLM App Chat PDF Files Llama 3.1
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Build a LLM app with RAG to chat with PDF files using Llama 3.1 8B instruct in just 4 lines of Python code:
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Hugging Face Transformers v4.43 Update Enhances AI Agent Planning
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Transformers v4.43 has been released, with a few sizeable improvements to Agents! Planning step: the agent can draw and update a plan, which considerably improves task solving trajectories. Release notes here: https://
github.com/huggingface/tr
ansformers/releases
… TY @LysandreJik for the reviews! -
PaliGemma Fine-tuning with AutoTrain Guide
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blog: https://
huggingface.co/blog/abhishek/
paligemma-finetuning-autotrain
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AutoTrain Enables VLM Finetuning with PaliGemma Support
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NEW TASK ALERT: VLM Finetuning AutoTrain just added VLM finetuning: Captioning and VQA for PaliGemma. Now, its super-easy to finetune PaliGemma on your own custom dataset. Which model and tasks would you like to see next? Let us know in Github Repo!