Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering …
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Moonshot AI Researchers Introduce Seer: An Online Context Learning System for Fast Synchronous Reinforcement Learning RL Rollouts
by Techaiappby Techaiapp 8 minutes readHow do you keep reinforcement learning for large reasoning models from stalling on a few very long, …
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MIT researchers develop AI tool to improve flu vaccine strain selection | MIT News
by Techaiappby Techaiapp 5 minutes readEvery year, global health experts are faced with a high-stakes decision: Which influenza strains should go into …
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Researchers glimpse the inner workings of protein language models | MIT News
by Techaiappby Techaiapp 5 minutes readWithin the past few years, models that can predict the structure or function of proteins have been …
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MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents
by Techaiappby Techaiapp 4 minutes readModern language agents need to handle multi-turn conversations, retrieving and updating information as tasks evolve. However, most …
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Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event | MIT News
by Techaiappby Techaiapp 3 minutes readLaunched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led …
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With AI, researchers predict the location of virtually any protein within a human cell | MIT News
by Techaiappby Techaiapp 6 minutes readA protein located in the wrong part of a cell can contribute to several diseases, such as …
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CMU Researchers Propose QueRE: An AI Approach to Extract Useful Features from a LLM
by Techaiappby Techaiapp 4 minutes readLarge Language Models (LLMs) have become integral to various artificial intelligence applications, demonstrating capabilities in natural language …
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Researchers from Princeton University Introduce Metadata Conditioning then Cooldown (MeCo) to Simplify and Optimize Language Model Pre-training
by Techaiappby Techaiapp 4 minutes readThe pre-training of language models (LMs) plays a crucial role in enabling their ability to understand and …
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AWS Researchers Propose LEDEX: A Machine Learning Training Framework that Significantly Improves the Self-Debugging Capability of LLMs
by Techaiappby Techaiapp 4 minutes readCode generation using Large Language Models (LLMs) has emerged as a critical research area, but generating accurate …