Google's image creation tool, Gemini, has been generating offensive and embarrassing results, prompting the company to make structural changes and update product guidelines to avoid bias in AI tools.
C3.ai, a software maker that helps companies build AI applications, reported a narrower-than-expected loss and revenue that topped estimates, causing AI stock to pop more than 14% in extended trading.
A new paper introduces a cost-effective Large Language Model called a 1-bit LLM, which matches the performance of full-precision Transformer LLMs while being significantly more efficient in terms of latency, memory, throughput, and energy consumption.
Another paper proposes a hybrid approach that combines a frozen LLM with a small language model to improve the efficiency of autoregressive decoding for Large Language Models, resulting in substantial speedups of up to 4 times with minor performance penalties. Additionally, a new framework called EMO utilizes a direct audio-to-video synthesis approach to produce highly expressive and lifelike talking head videos.
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Timestamps:
00:34 Introduction
01:38 Google CEO calls AI tool’s controversial responses ‘completely unacceptable’
03:11 Artificial Intelligence Play C3.ai Climbs On Earnings Report, Outlook
04:41 Jason Wei On Sora
06:19 Fake sponsor
08:35 The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
09:19 Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding
10:38 EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
12:04 Outro

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