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In this episode of Using AI, host Alex Denne, Senior ML Research Scientist Alex Pap, and AI Startup Founder and CTO Nitish Mutha delve into the intriguing comparison between Meta and OpenAI.
They discuss the development and implications of the Llama AI model, comparing its iterations and impacts with those of other AI models. Topics include Llama 3, Hosting Llama, Open Source AI, AI research groups, AI model weights, instruction, fine-tuning, RLHF, Hosting Llama, AWS Bedrock, Azure AI Models, and local fine-tuning.
Links mentioned in this episode:
1. Llama Access Form (meta.com): ai.meta.com/re...
2. Llama 2 on Hugging face: huggingface.co...
3. Llama 2 7B Chat on Hugging Face: huggingface.co...
4. Article on Meta's use of copyrighted books: www.reuters.co...
5. Open Source AI Meta and IBM partnership: www.theguardia...
6. Meta's alleged advantage due to user data: / iumg20zokz
7. Llama model weights leak: www.theverge.c...
8. Google AI researcher's statement: www.semianalys...
9. Llama is not really open source: spectrum.ieee....
Join us as we explore how AI is being used and the future implications of these technological advancements.