SambaNova researcher @etash_guha is presenting DataComp-LM at @NeurIPSConf
! This paper finds a pretraining data curation pipeline for LLMs that surpasses existing open source models. Please reach out to him to discuss the DCLM paper! Paper here
LLMS
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SambaNova’s DataComp-LM Advances LLM Pretraining Data Curation
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Post-Training Data Boom: Computing Beyond Pre-Training Limits
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Compute matters, but so does data, and we have reached a pre-training data wall. Get ready for the post-training data boom. Companies will race to have the best frontier data—multi-modal, agentic, complex reasoning, and more. Follow the data, find the winners. 7/8
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ChatGPT for Data Analysis: A Beginner’s Guide
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ChatGPT for Data Analysis: A Beginner’s Guide https://
bit.ly/3CUGjpv
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Vector Databases Explained for LLM Development
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New video!! Vector Databases Explained (vs traditional databases & alternatives) Learn more: https://
youtu.be/TprMWe54kZE 6/10 of the "From Beginner to Advanced LLM Developer" course by Towards AI 🙂 4 more to come! -
AI-Assisted Data Science Future with Abacus.ai Platform
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The future of #DataScience is #AI-Assisted! Use the @AbacusAI end-to-end #LLMOps & #MLOps platforms to build, deploy, and monitor custom enterprise AI applications. Start here: https://
abacus.ai ➜Explore Solutions
➜Request access
➜Start FREE trial
➜Free Consultation -
Two Types of Stochastic Parrot – Reflections
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12/25 Two types of stochastic parrot https://
the-atomic-human.ai/reflections/tw
o-types-of-stochastic-parrot/
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Randomness: The Hidden Key to Machine Learning Success
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No learning without randomness https://
bit.ly/4f4z2Rg
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Llama 3.3 70B Results Missing from Analysis
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they didn't submit results for llama 3.3 70B https://
artificialanalysis.ai/models/llama-3
-3-instruct-70b/providers#pricing
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LLM Monitoring Evaluation and Prompt Engineering Deep Dive Course
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If you want an in depth course on how to monitor, evaluate, and prompt engineer LLM applications (whether using LangChain or not)… then this is the course for you!
— Harrison Chase (@hwchase17) 11 décembre 2024
~4 hours deep dive into tracing, evals, prompts, monitoring, feedback
👇👇👇 https://t.co/hnKTC4SpdFIf you want an in depth course on how to monitor, evaluate, and prompt engineer LLM applications (whether using LangChain or not)… then this is the course for you! ~4 hours deep dive into tracing, evals, prompts, monitoring, feedback
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Jensen Huang: Long-Thinking AI Foundation Models Represent Next Leap
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“We’re in the beginnings of this generative AI revolution as we all know,” @nvidia Chief Jensen Huang said. “And we’re at the beginning of a new generation of foundation models that are able to do reasoning and able to do long thinking.” https://
wsj.com/articles/get-r
eady-for-long-thinking-ais-next-leap-forward-2024e63c?st=t78mLz
… via @WSJ