Already almost 1,000 llama3 model variations have been shared publicly on HF (many more in private use at companies): https://
huggingface.co/models?sort=cr
eated&search=llama3
…. Everyone should fine-tune their own models for their use-cases, languages, industry, infra constraints,… 10,000 llama3 variants by
LLMS
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Llama3 Model Variants Proliferate: Fine-Tuning for Specific Use Cases
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Ranking Llama3 Models by Recent Updates on Hugging Face
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you're right, my bad! probably better to rank by "recently updated" https://
huggingface.co/models?sort=mo
dified&search=llama3
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Run Llama 3 Locally Free With GPT4All LMStudio Ollama
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Check out this ace from my friend Shubham showing you 3 ways to run the new #Llama3 from @AIatMeta locally—100% free, completely offline, and private! Via #GPT4All, @LMStudioAI
, or (my personal favorite) @Ollama
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Claude 3 Opus Extracts Structured Data from Images Demo
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Mind-blowing demo of #Claude3 Opus that can now pull structured data straight from images! Most of the LLM implementation is handled by this script from @timpaul
: → https://
github.com/timpaul/form-e
xtractor-prototype/blob/main/data/extract-form-questions.json
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System Prompts and Instruction Delimitation in AI Models
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Models have worked like that for over a year now – OpenAI have a similar mechanism, it's part of how their system prompts work The problem is that it's not infallible: even with special reserved tokens to delimit instructions vs data it's still possible for models to lose track
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Implementing GenAI in Your Organization at Data AI Summit
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Learn how to implement #GenAI in your organization at #DataAISummit! Attend one of our many GenAI sessions, including: Building your first GenAI app Data management in the age of GenAI and LLMs Accelerating operational excellence with GenAI https://
bit.ly/3UlaDA7 -

AbacusAI Releases Llama-3-Smaug-8b Improved Model
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Wow! People are already hacking with Llama-3 & making it even better AbacusAI just released Llama-3-Smaug-8b! The model significantly improves the base model's MT-bench score!! MT-bench Scores 1st turn
llama3-smaug-8b 8.79375
llama3-8b-instruct 8.53125 2nd turn -
Top LLMs and Supporting App Ecosystems Decoded
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Decoding generative AI: Top LLMs and the app ecosystems they support | MarTech https://
martech.org/decoding-gener
ative-ai-top-llms-and-the-app-ecosystems-they-support/
… #LLMs #AI #GenAI #Apps #IoT #TechTrends #TechInnovation #Tech -

AI-Driven Quiz Platform Using Gemini LLM Python RAG
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AI-Driven Quiz with Gemini LLM, Python, RAG and More! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #DataScientist #Linux #Programming #Coding #Books #100DaysofCode https://
geni.us/AI-Driven-Quiz -

Building RAG Chains with LangChain LCEL Framework
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Building a RAG Chain using LangChain Language LCEL! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #Books #100DaysofCode https://
geni.us/LangChain-Exp-
LCEL
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