The most interesting part is – Anthropic is working on a new UI for Claude AI that looks like… ChatGPT!
LLMS
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RAG for Diffusion Models to Reduce Knowledge Requirements
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i wonder if we can do rag for diffusion models to get rid of the knowledge requirement. 0.6b params is great
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DistBelief: Distributed Training and Knowledge Distillation Framework
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Or https://
arxiv.org/abs/1503.02531, which describes how distbelief was used to train the baseline model (a quite large model for the circa 2014/2015 time frame), and later describes using the framework to train specialists and then distill them into a single model. -
Building AI Agents with Internet Access via LangChain
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Building an AI Agent That Has Access to the Internet Using LangChain and Tavily’s API This setup enables the AI agent to access a vast range of data, understand and interact with it in a meaningful way. Full blog here: https://
medium.com/thoughts-on-ma
chine-learning/building-an-ai-agent-that-has-access-to-the-internet-using-langchain-and-tavilys-api-0fe6cbd9ecce
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Data Intelligence and Governance for Enterprise LLMs
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Great insights from @matei_zaharia on data intelligence and governance in #GenAI. Watch the full convo with @qAmbard and @YoussefMrini as they discuss the challenges + opps for enterprises leveraging #LLMs https://
bit.ly/3W1lEYv -
Daily content sharing on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Microsoft Advances in Speech, Translation, Captioning, and NLP
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Hear about Microsoft's AI breakthroughs in speech recognition, machine translation, image captioning, and most notably, NLP. https://
buff.ly/3JJXjip -
Master LLM Fine-Tuning: New Codecademy Course Released
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Learn all the ways to fine-tune an LLM with this new course by @codecademy
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AI Wearables: Future Adoption and LLM Startup Viability
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The likely future. How long before everyone is using AI assistants via wearables? Does it represent an exit direction for LLM startups desperate to make money? How hard or costly is it to replicate the tech? Would love to hear serious thoughts on this.
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LLMs as Compression: Underrepresented Languages Challenge
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> This also means that languages that are not well represented online typically aren't able to be compressed well you havent referred to the idea of llms as compression anywhere prior in the post overall good article!