Meta is launching its Llama 3 open source LLM with 140 billion parameters, catching up to OpenAI's ChatGPT. 
Intel's Gaudi 3 AI accelerator is breaking down proprietary walls to bring choice to enterprise GenAI market, with OEMs like Dell and Lenovo adopting it. 
Microsoft Research's Direct Nash Optimization (DNO) is a new approach to improving language models, achieving state-of-the-art win-rates against GPT-4-Turbo. 
UniFL is a unified framework that uses feedback learning to enhance diffusion models, improving both the quality of generated models and their acceleration.
Contact:  [email protected]
Timestamps:
00:34 Introduction
01:47 Meta confirms that its Llama 3 open source LLM is coming in the next month
03:17 Intel Breaks Down Proprietary Walls to Bring Choice to Enterprise GenAI Market
05:18 QCon London: Meta Used Monolithic Architecture to Ship Threads in Only Five Months
06:42 Fake sponsor
09:10 Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
10:48 UniFL: Improve Stable Diffusion via Unified Feedback Learning
12:24 MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
14:13 Outro

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