Exploring the Promise of Generative Models in Chemistry: An Introduction to Diffusion Models https://
bit.ly/3Yt08es #AI #MachineLearning #DeepLearning #LLMs #DataScience
GENERATIVE AI
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Generative Models and Diffusion Models in Chemistry
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LLM Development Methods: Prompting, Fine-tuning, Few-shot
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In addition to prompting LLMs, many developers are now also experimenting with fine-tuning. I describe in The Batch how to choose from the growing menu of options for building applications with LLMs: Prompting, few-shot, fine-tuning, pre-training.
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Predibase and LangChain Partnership for Fine-tuning Open-Source LLMs
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Predibase + @langchain
: The easiest way to #finetune and productionize open-source #LLMs! Our partnership brings production-grade workflows and managed infrastructure to teams that want to build on state-of-the-art open-source #models. Learn more: https://
pbase.ai/3qxmAXd -
RAGAS Framework for RAG Pipeline Evaluation Webinar
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LangChain "RAG Evaluation" Webinar RAGAS is an open-source evaluation framework for your Retrieval Augmented Generation (RAG) pipelines I'm VERY excited to be doing a webinar with them next week! RAGAS Repo: https://
github.com/explodinggradi
ents/ragas
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Enterprise AI Adoption: Security and Technical Debt Concerns
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“We’ve talked to hundreds of customers looking to adopt generative AI who have concerns about existing tools on the market, including security and reputational risks, vendor lock-in and mounting technical debt from piecemeal solutions. With over a decade at the forefront of AI
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The Sin of Indistinguishable from Magic in LLM Hype
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BTW my diagnosis of the LLM hype is the "indistinguishable from magic" sin. LLMs did something surprising and for which we humans had no obvious mental model, so LLMs quickly became capable, in our minds, of anything imaginable.
https://technologyreview.com/2017/10/06/241837/the-seven-deadly-sins-of-ai-predictions/
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Transformer Pioneer Launches Adaptable AI Models Research Lab
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A Godfather of Transformers Launches Lab Developing More Adaptable AI Models @theinformation https://
theinformation.com/articles/a-god
father-of-transformers-launches-lab-developing-more-adaptable-ai-models-databricks-and-openai-in-dealmaking-mode
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LLM Hype Cycle Peaks as Tech Cycles Grow Larger
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Tech hype cycles are getting larger in amplitude and frequency. Seems to me LLM hype has just passed peak. Yet another case of "Looking for 愛 in all the wrong places"? [[Yes, it is a really bad kanji/romaji pun…]]
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Platypus: Open-Source LLM Achieves Top Leaderboard Performance
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Platypus, a new open-source LLM at the top of the leaderboard: https://
arxiv.org/abs/2308.07317 Key points are
1) a curated dataset: removing similar & duplicate questions
2) finetuning and merging Low Rank Approximation (LoRA) modules: focusing on the non-attention modules -
ETH Zürich DLSC Course Introduction and Deep Learning
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ETH Zürich DLSC: Course Introduction https://
bit.ly/47oy2F1 #AI #MachineLearning #DeepLearning #LLMs #DataScience