GPT-4 Voice for business negotiations: https://t.co/59m9lzriNB
— Greg Brockman (@gdb) 15 octobre 2023
GPT-4 Voice for business negotiations:
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GPT-4 Voice for business negotiations: https://t.co/59m9lzriNB
— Greg Brockman (@gdb) 15 octobre 2023
GPT-4 Voice for business negotiations:
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We launching our 70B model with a context size of ~32k tokens. It outperforms comparable models in several benchmarks. We are closing the performance gap with closed-source models! More info:

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Llama from scratch (or how to implement a paper without crying) https://
bit.ly/3PmBVCi #AI #MachineLearning #DeepLearning #LLMs #DataScience
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Top ML Papers of the Week (Oct 9 – Oct 15): – Instruct-Retro
– Ring Attention
– LLMs can Learn Rules
– A Survey of LLMs for Healthcare
– Meta Chain-of-Thought Prompting
– Toward Language Agent Fine-tuning
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1/ Ring Attention – a memory-efficient approach that leverages
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This is one of the most beautiful visualizations of how today's #LLMs work.
— Charly Wargnier (@DataChaz) 15 octobre 2023
The article helps you understand the core concepts in 5 minutes.
✨ https://t.co/gKoxcYBUbM pic.twitter.com/GgbWZ9uJWd
This is one of the most beautiful visualizations of how today's #LLMs work. The article helps you understand the core concepts in 5 minutes. https://
ig.ft.com/generative-ai/
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Sounds falsifiable. Want to bet? If so, when is 'soon' and what is 'unbeatable'? Throwing out possible terms in case it saves you trouble: 'Soon' is EOY 2025 and 'unbeatable' means that most spending/use of LLMs happens with models built on open-source foundations.
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Is #India struggling in the Generative AI race? https://
moneycontrol.com/news/technolog
y/is-india-facing-challenges-in-climbing-the-generative-ai-race-11534881.html
… #AIEthics #EthicalAI #ethical #AI #ML #DL #Algorithms #ResponsiveAI #GPT #GPT4 #GenerativeAI #LLMs #LLM #GenAI #tech #technology #TechNews
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Key strategies include high-quality, diverse data, proper prompt engineering, and using Retrieval Augmented Generation or Deep Memory for accurate topic information.
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Large language models' (LLMs) main challenge is managing hallucinations and biases, affecting their commercial applications. However, current methods to address these are increasingly available.
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That's a wrap! If you interested in: – Python – ML/MLOps – CV/NLP – LLMs – AI Engineering Find me → @akshay_pachaar Subscribe to my Newsletter→ https://
mlspring.beehiiv.com/subscribe Everyday, I share tutorials on above topics! Cheers!