Apple researchers propose MAD-Bench benchmark to overcome hallucinations and deceptive prompts in multimodal large language models. Meta collaborates with Sarvam AI to build vernacular LLMs. Startup accelerates progress toward light-speed computing. This AI paper from Meta AI explores advanced refinement strategies for large language models.
Sources:
https://www.marktechpost.com/2024/02/29/apple-researchers-propose-mad-bench-benchmark-to-overcome-hallucinations-and-deceptive-prompts-in-multimodal-large-language-models/
https://www.businesstoday.in/technology/news/story/meta-working-with-sarvam-ai-to-build-vernacular-llms-419659-2024-03-01
https://news.mit.edu/2024/startup-lightmatter-accelerates-progress-toward-light-speed-computing-0301
https://www.marktechpost.com/2024/02/29/this-ai-paper-from-meta-ai-explores-advanced-refinement-strategies-unveiling-the-power-of-stepwise-outcome-based-and-process-based-reward-models/
Outline:
(00:00:00) Introduction
(00:00:42) Apple Researchers Propose MAD-Bench Benchmark to Overcome Hallucinations and Deceptive Prompts in Multimodal Large Language Models
(00:03:26) Meta working with Sarvam AI to build vernacular LLMs
(00:05:35) Startup accelerates progress toward light-speed computing
(00:08:30) This AI Paper from Meta AI Explores Advanced Refinement Strategies: Unveiling the Power of Stepwise Outcome-based and Process-based Reward Models
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