Mastering #NLProc from Foundations to #LLMs — Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems: https://
amzn.to/3TawZDK (Order now. @PacktPublishing release on May 9)
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#DataScience #GenerativeAI #AI #MachineLearning #DeepLearning
MACHINE LEARNING
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Mastering NLP: From Foundations to Large Language Models
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Stanford AI Student Group Publishes Social Science Research at EACL
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This year, a @StanfordHAI student affinity group delves into the intersection of social sciences and AI, resulting in a paper accepted at EACL 2024, inspired by group discussions on foundation models and NLP. Read the paper: https://
bit.ly/3Ta8ZAu -
Robot Advances in Needle Grasping and Transfer Tasks
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Axel Krieger from
@JohnsHopkins
who was not involved in the study, says the robot made impressive advancements, especially in its ability to find and grasp the needle and transfer it between grippers: “It’s like finding a needle in a haystack.” -
30 Emerging Technologies Shaping Business Decisions
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30 Emerging Technologies That Will Guide Your Business Decisions — the @Gartner_inc #EmergingTech Impact Radar: https://
gartner.com/en/articles/30
-emerging-technologies-that-will-guide-your-business-decisions
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#GenerativeAI #KnowledgeGraphs #AI #SyntheticData #Blockchain #MachineLearning #SpatialComputing #VectorDB #EdgeComputing #5G #Web3 #IoT -
7 Essential Things to Know About Fine-tuning LLMs
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Getting started #finetuning? Here are 7 things you need to know We gathered the most common questions from helping our customers fine-tune 1000s of #LLMs and pulled together a blog with our answers to help share the knowledge!
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Generative AI Advances Protein-Ligand Binding Prediction
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Thrilled that our work on generative AI for dynamic protein-ligand binding is now on the cover of @Nature @ZhuoranQ @wn8_nie @tfmiller3 https://
nature.com/articles/s4225
6-024-00792-z
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Demystifying AI: Machine Learning and Deep Learning Explained
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Demystifying #AI in a Nutshell #infographic source: https://t.co/CUFS5Ffouy by @DenisPanjuta
— Kirk Borne (@KirkDBorne) 23 février 2024
==========#DataScience #MachineLearning #DeepLearning pic.twitter.com/NQ98Yrt6KeDemystifying #AI in a Nutshell #infographic source: https://
linkedin.com/posts/data-and
-ai-central_ai-machinelearning-technology-activity-7166202090405490689-8Ymh/?utm_source=share&utm_medium=member_ios
… by @DenisPanjuta ==========
#DataScience #MachineLearning #DeepLearning -
Ludwig v0.10.0 Released with Gemma, U-Net and Phi2 Support
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Announcing #Ludwig v0.10.0: Support for @Google
's #Gemma 2B / 7B Added U-Net encoder-decoder and image output feature Added #Phi2 to model presets Support for prompt lookup decoding during generation Multiple bug fixes Full release notes: https://
pbase.ai/49JwFkO -
Data LLMs Extract Hidden Insights From Your Data
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Your data has a story to tell. The @AbacusAI #DataLLM can tell it, using an #AI brain that extracts insights from data. Data #LLMs can understand the patterns in your data, extract hidden insights from it, and then tell you. See: https://
blog.abacus.ai/blog/2023/08/2
4/data-llm-get-insights-from-your-data/
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Monte-Carlo Tree Search: UCT Algorithm for Decision-Making
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4/ Monte-Carlo Tree What? Monte-Carlo Tree Search (MCTS) is a heuristic search algorithm used in decision-making processes. In LATS, MCTS selects the best candidate using an Upper Confidence Bound for Trees (UCT).
This balances exploration and exploitation of a policy.