Methods and Strategies for Building and Refining Reasoning Models
This article describes the four main approaches to building reasoning models, or how we can enhance LLMs with reasoning capabilities. I… Continue reading on Level Up Coding »
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Research Reveals Reasoning LLMs Lack Systematic Problem-Solving Capabilities
Large Language Models (LLMs) have demonstrated impressive reasoning abilities through test-time computation (TTC) techniques such as chain-o

Reasoning guide
Overview of reasoning models and how to prompt them — reasoning, planning, tool use, structured outputs.

Reasoning guide
Overview of reasoning models and how to prompt them — reasoning, planning, tool use, structured outputs.
Understanding Large Reasoning Models: Strengths and Limitations
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes…
Revisiting local LLMs for coding: A 4-week hands-on assessment
Notes from my Thoughtworks colleagues on AI-assisted software delivery
Revisiting local LLMs for coding: A 4-week hands-on assessment
Notes from my Thoughtworks colleagues on AI-assisted software delivery
Revisiting local LLMs for coding: A 4-week hands-on assessment
Notes from my Thoughtworks colleagues on AI-assisted software delivery
Trust the model: A minimalist approach to using LLMs for coding with clear specs
I think the value right now is to focus less on external orchestration if at all. trust the (current best) model to do it better than anythi
Trust the model: A minimalist approach to using LLMs for coding with clear specs
I think the value right now is to focus less on external orchestration if at all. trust the (current best) model to do it better than anythi
Balancing the Brains: Tackling the Composition-Knowledge Challenge in LLMs
LLMs often struggle with integrating compositionality and knowledge. New methods like Concretized Proposition Prompting show promise in brid

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