Web Researcher Excited to share this project I've been working on with @RLanceMartin Started off as attempt to build a web research AGENT, but turned more into a fancy retrieval method Read about our thought process and learnings here: https://
blog.langchain.dev/automating-web
-research/
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LLMS
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Web Research Agent: From Concept to Advanced Retrieval Method
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Llama 2 Now Available on Inference API for Free
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Llama 2 just landed in Inference API It is available for free for PRO and Enterprise Hub users (no additional per-token billing) Just start making HTTP calls and use one of the best open LLMs, no infra needed
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What are embeddings in AI and machine learning
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What are embeddings? https://
bit.ly/3JkCcU6 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Unlocking Generative AI and LLM Business Potential
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Explore the true potential of #generativeAI & #LLMs in business! Dive into insights from experts like Kjell Carlsson of @DominoDataLab to distinguish buzz from real benefits. Ready to navigate the LLM landscape?
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GenAI Meetup: Open Source LLMs and AI Frameworks
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@malai_san & @saamatechinc team is hosting a #GenAI meetup this weekend (29th June – 10 AM) in #Chennai. ⦿ Adapting Open Source LLMS for your Use Case – Logesh Kumar
⦿ Empowering AI applications using LLAMAINDEX and LANGCHAIN – Praveen R & R Dhilip -
Midjourney continues weekly improvements beyond open source models
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every week MJ gets better than the last. It’s constantly “out of reach” for OSS models.
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LangSmith traces visualization and monitoring techniques
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What do the traces on langsmith for this look like?
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How Will AI Change Search And Content Creation?
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How Will AI Change Search And Content Creation?
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun http://
ow.ly/G0Gs30swnqI -
Fine-tuned Open-Source LLMs Integration with LangChain and Predibase
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Use #finetuned open-source #LLMs with @langchain and @Predibase Excited to share our new integration which makes it easier than ever before to deploy, customize and chain LLMs on your own #data! https://
python.langchain.com/docs/integrati
ons/llms/predibase
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Stanford MLSys Seminars: Essential Talks on Machine Learning Systems
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Really like this series of talks by Stanford MLSys Seminars on wide range of topics. All talks are great. A few examples: – FlashAttention: https://
youtube.com/watch?v=gMOAud
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– PaLM: https://
youtube.com/watch?v=CV_eBV
wzOaw
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– Building ML models like open-source software: https://
youtube.com/watch?v=0oGxT_
i7nk8
… All talk