NEWSLETTER
Improving LLM Reasoning: Revealing the Code Prompt Chain
Image created by the author with DALL•E 3 Key takeaways Chain of Code (CoC) is a novel approach to interacting ...
Tag: Reasoning
Microsoft AI team introduces Phi-2: a small, 2.7 billion-parameter language model that demonstrates excellent reasoning and language understanding capabilities
Historically, the development of language models has operated under the premise that the larger the model, the greater its performance ...
Microsoft Launches Orca 2: Pioneering Advanced Reasoning in Smaller Language Models with Customized Training Strategies
LLMs (Large Language Models) are trained with large volumes of textual data to understand and produce human-like language. GPT-3, GPT-4 ...
Achieving structured reasoning with LLM in chaotic contexts with threads of thought and parallel knowledge graph retrieval | by Antonio Alcaraz | November 2023
Large language models (LLMs) demonstrated impressive learning capabilities in a few opportunities, quickly adapting to new tasks with just a ...
In new AI paper, CMU and Google researchers redefine language model results: How delaying responses with pause tokens boosts performance on reasoning and quality control tasks
Tokens are generated in rapid succession using transformer-based causal language models. The model takes the previous K tokens and then ...
Improving language models with analog cues to improve reasoning
In recent years, language models have demonstrated remarkable proficiency in understanding and generating human-like texts. However, despite their impressive linguistic ...
UT Austin Researchers Present MUTEX: A Leap Towards Training Multimodal Robots with Multimodal Reasoning
Researchers have introduced a cutting-edge framework called MUTEX, short for “Multimodal Task Specification for Robot Execution,” which aims to significantly ...
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