This “smart coach” helps #LLM's switch between text and code
https://news.mit.edu/2025/smart-coach-helps-llms-switch-between-text-and-code-0717
https://news.mit.edu/2025/smart-coach-helps-llms-switch-between-text-and-code-0717
MIT News | Massachusetts Institute of Technology
This “smart coach” helps LLMs switch between text and code
CodeSteer is a smart assistant from MIT that automatically guides large language models to switch between generating text and code, and to refine its response, until it answers a query correctly.
Your 1M+ Context Window LLM Is Less Powerful Than You Think
#Article #Large_Language_Models #Artificial_Intelligence #Editors_Pick #Llm #llm_failures #Transformers
via Towards Data Science
#Article #Large_Language_Models #Artificial_Intelligence #Editors_Pick #Llm #llm_failures #Transformers
via Towards Data Science
Telegraph
Your 1M+ Context Window LLM Is Less Powerful Than You Think
For many problems with complex context, the LLM’s effective working memory can get overloaded with relatively small inputs — far before we hit context window limits. The post Your 1M+ Context Window…
Por que parei de Confiar em #Benchmark's de #LLM's (e o que Realmente Importa para #Agente's de #IA)
https://www.youtube.com/watch?v=zzhEz8jkM1s
#Agente@TutorialBTC
#LLM@TutorialBTC
https://www.youtube.com/watch?v=zzhEz8jkM1s
#Agente@TutorialBTC
#LLM@TutorialBTC
YouTube
Por que parei de Confiar em Benchmarks de LLMs (e o que Realmente Importa para Agentes de IA)
––– Recursos & Educação –––
Tenha acesso a conteúdo gratuito e exclusivo : https://www.rhawk.pro/
Comunidade (Lista de espera aberta): https://www.rhawk.pro/comunidade
––– Descrição –––
Você ainda confia cegamente em benchmarks de LLMs para escolher o melhor…
Tenha acesso a conteúdo gratuito e exclusivo : https://www.rhawk.pro/
Comunidade (Lista de espera aberta): https://www.rhawk.pro/comunidade
––– Descrição –––
Você ainda confia cegamente em benchmarks de LLMs para escolher o melhor…
How to Create an LLM Judge That Aligns with Human Labels
#Article #Large_Language_Models #Artificial_Intelligence #Editors_Pick #Llm #Llm_Evaluation #Machine_Learning
via Towards Data Science
#Article #Large_Language_Models #Artificial_Intelligence #Editors_Pick #Llm #Llm_Evaluation #Machine_Learning
via Towards Data Science
Telegraph
How to Create an LLM Judge That Aligns with Human Labels
A hands-on guide to building and validating LLM evaluators The post How to Create an LLM Judge That Aligns with Human Labels appeared first on Towards Data Science. Generated by RSStT. The copyright…
Advanced Topic Modeling with LLMs
#Article #Large_Language_Models #Deep_Dives #Llm_Applications #Machine_Learning #Natural_Lanugage_Processing #Topic_Modeling
via Towards Data Science
#Article #Large_Language_Models #Deep_Dives #Llm_Applications #Machine_Learning #Natural_Lanugage_Processing #Topic_Modeling
via Towards Data Science
Towards Data Science
Advanced Topic Modeling with LLMs | Towards Data Science
A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic
How To Significantly Enhance LLMs by Leveraging Context Engineering
#Article #Large_Language_Models #Context #Llm #Machine_Learning #Prompt_Engineering #Python
via Towards Data Science
#Article #Large_Language_Models #Context #Llm #Machine_Learning #Prompt_Engineering #Python
via Towards Data Science
Towards Data Science
How To Significantly Enhance LLMs by Leveraging Context Engineering | Towards Data Science
The benefits and practical aspects of context engineering for LLMs