chain of thought reasoning

The tool integration problem that’s holding back enterprise AI (and how CoTools solves it)

• AI
• AI agents
• AI research
• AI, ML and Deep Learning
• API
• Business
• category-/Business & Industrial/Business Operations
• category-/Computers & Electronics
• category-/Science/Computer Science
• chain of thought reasoning
• Chain-of-Tools (CoTools)
• enterprises
• fine-tuning
• in-context learning (ICL)
• large language models
• large language models (LLMs)
• LLMs
• Model Context Protocol (MCP)
• research
• semantic understanding
• Uncategorized

The tool integration problem that’s holding back enterprise AI (and how CoTools solves it)

admin April 2, 2025

CoTools uses hidden states and in-context learning to enable LLMs to use more than 1,000 tools very...

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METASCALE improves LLM reasoning with adaptive strategies

• A Multi-Armed Bandit (MAB) algorithm
• AI
• AI research
• AI, ML and Deep Learning
• category-/Jobs & Education/Education
• category-/Science/Computer Science
• chain of thought reasoning
• large language models
• large language models (LLMs)
• LLM reasoning
• LLMs
• METASCALE
• Microsoft Research
• research
• Uncategorized

METASCALE improves LLM reasoning with adaptive strategies

admin March 25, 2025

METASCALE uses a three-stage approach to dynamically choose the right reasoning technique for each promblem.Read More

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Less is more: UC Berkeley and Google unlock LLM potential through simple sampling

• AI
• AI research
• AI, ML and Deep Learning
• Business
• chain of thought reasoning
• Google Research
• large language models
• large language models (LLMs)
• LLM reasoning
• LLMs
• reasoning models
• research
• sampling
• UC Berkeley
• Uncategorized

Less is more: UC Berkeley and Google unlock LLM potential through simple sampling

admin March 21, 2025

With multiple sampling and self-verification, Gemini 1.5 Pro can outperform o1-preview in reasoning tasks.Read More

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Researchers find you don’t need a ton of data to train LLMs for reasoning tasks

• AI
• AI, ML and Deep Learning
• category-/Science
• chain of thought reasoning
• Fine-tuning large language models
• large language models
• large language models (LLMs)
• LLM reasoning
• LLMs
• Qwen 2.5
• reasoning models
• Uncategorized

Researchers find you don’t need a ton of data to train LLMs for reasoning tasks

admin February 14, 2025

With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously...

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‘Personalized, unrestricted’ AI lab Nous Research launches first toggle-on reasoning model: DeepHermes-3

• AI
• AI, ML and Deep Learning
• Business
• chain of thought reasoning
• Conversational AI
• deephermes-3
• hermes 3
• LLM reasoning
• NLP
• Nous Research
• reasoning
• reasoning model
• reasoning models
• Uncategorized

‘Personalized, unrestricted’ AI lab Nous Research launches first toggle-on reasoning model: DeepHermes-3

admin February 14, 2025

One DeepHermes-3 user reported a processing speed of 28.98 tokens per second on a MacBook Pro M4...

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OpenAI responds to DeepSeek competition with detailed reasoning traces for o3-mini

• AI
• AI, ML and Deep Learning
• Business
• category-/News
• chain of thought reasoning
• Conversational AI
• Deepseek R1
• Generative AI
• large language models
• LLM reasoning
• o3-mini
• OpenAI
• openai o3-mini
• reasoning models
• Uncategorized

OpenAI responds to DeepSeek competition with detailed reasoning traces for o3-mini

admin February 9, 2025

By showing a more detailed version of the chain of thought of o3-mini, OpenAI is closing the...

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