WTF! Qwen COOKED – QwQ 32B beats o1 mini and competes with preview!
LLMS
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Abacus ChatLLM Teams: Choose LLMs to Summarize PDFs
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Check out @AbacusAI versatile ChatLLM Teams: https://t.co/73VwIlbKFB
— Kirk Borne (@KirkDBorne) 27 novembre 2024
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Example: watch attached video — see how you can choose from a variety of different #LLMs to summarize any input PDF document.
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The post below lists key features of ChatLLM Teams:
⬇️https://t.co/ajtqDwT9xn pic.twitter.com/MweTbhCiA8Check out @AbacusAI versatile ChatLLM Teams: https://
chatllm.abacus.ai/?token=kirk Example: watch attached video — see how you can choose from a variety of different #LLMs to summarize any input PDF document.
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The post below lists key features of ChatLLM Teams: -

NeurIPS Honor for Transformers Research and Large Language Models
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Such a great honor, thanks a lot @NeurIPSConf and congrats to my esteemed co-authors @ilyasut & @quocleix
! The 2014 talk also stood the test of time IMO. Here is a slide from it (powerful models of today == large transformers). Believe it or not this talk was controversial at the -
Deep Learning Scaling Laws and Synthetic Data Discussion
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is deep learning hitting a wall? we have good news in time for thanksgiving 🙂
— Nathan Benaich (@nathanbenaich) 27 novembre 2024
after another round of scaling law speculation, @eisokant (co-founder and cto of @poolsideai) and i recorded a 45 min discussion for @airstreetpress.
we talk about scaling laws, synthetic data,… pic.twitter.com/NN81DPP4Puis deep learning hitting a wall? we have good news in time for thanksgiving 🙂 after another round of scaling law speculation, @eisokant (co-founder and cto of @poolsideai
) and i recorded a 45 min discussion for @airstreetpress
. we talk about scaling laws, synthetic data, -

Abacus AI ChatLLM: Enterprise AI Super Assistant Platform
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Check out @AbacusAI ChatLLM — #AI Super Assistant For Enterprises & Professionals at https://
abacus.ai World’s first AI super assistant built on state-of-the-art #GenerativeAI technology Fully featured AI platform builds enterprise-scale applied AI systems & agents -

OpenAI’s Small Team Experiment Becomes Revolutionary AI Breakthrough
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This is a fascinating piece by Will Douglas Heaven in the MIT Technology Review. It reveals how a small OpenAI team's experiment evolved into one of the most transformative #AI breakthroughs of our time—a #technology that gained 1 million users in just 2.5 months and sparked a
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Yi and Yi 1.5 Models Evolution in Generative AI
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Yi and Yi 1.5 are evolving🌳 Omar Sanseviero (@osanseviero) The (non-exhaustive) evolution of base models If you want to learn more about it and how to use these models, check out the freshly released book "Hands-On Generative AI", written with @pcuenq @multimodalart and @johnowhitaker! oreilly.com/library/view/han… — https://nitter.net/osanseviero/status/1861732908953649152#m
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RAG vs Long Context: Why Choose RAG with Gemini
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Good morning everyone! Here's the third video of 10 for the "From Beginner to Advanced LLM Developer" course by Towards AI. In this one, we talk about a highly-quoted topic: RAG or long context. Many people ask us why we use RAG if Gemini can take millions of tokens as inputs.
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Understanding Multimodal LLMs Latest Papers Overview
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I covered the latest multimodal LLM papers lately (but not the evals, as this would be a different beast): https://
magazine.sebastianraschka.com/p/understandin
g-multimodal-llms
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India Launches BhasaAnuvaad Speech Translation Dataset 13 Languages
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This resource addresses India-specific challenges like code-switching and dialectal diversity, bridging critical gaps in global translation benchmarks and advancing inclusive AI development. Learn more: https://
indiaai.gov.in/article/ai4bha
rat-unveils-bhasaanuvaad-speech-translation-dataset-in-13-languages
… @GoI_MeitY @abhish18 @_DigitalIndia
