A novel artificial intelligence approach called ML-BENCH has been proposed to assess the effectiveness of Large Language Models (LLMs) in leveraging existing functions in open-source libraries. ML-BENCH aims to evaluate LLMs' real-world performance in code generation and their use in improving SQL queries. OpenAI Assistants are highlighted as a significant development for LLM evaluation, emphasizing their impact on machine learning and artificial intelligence.
Why OpenAI Assistants is a Big Win for LLM Evaluation #machinelearning #ml #artificialintelligence #ai #dormosheio #opensource #learning https://t.co/Z8vwqSHKNX
Techniques for Using LLMs to Improve SQL Queries https://t.co/i0Hm1cS1vf #DataScience #LargeLanguageModels #LLMs #SoftwareDevelopment https://t.co/DWbcu4OEBX
ML-BENCH: Evaluating LLMs' Real-World Performance in Code Generation #AI #artificialintelligence #Automatedmachinelearning #Claude2 #CodeLlama #GPTmodels #llm #LLMs #machinelearning #MLAGENT #MLBENCH #Software https://t.co/lilJvGuVHT https://t.co/oDwGQjLLRG
This AI Paper Proposes ML-BENCH: A Novel Artificial Intelligence Approach Developed to Assess the Effectiveness of LLMs in Leveraging Existing Functions in Open-Source Libraries Quick read: https://t.co/TO9yOn4kVE Paper: https://t.co/RiSLSP6LDw Project: https://t.co/hUy3ZtZ4nn… https://t.co/lUeW8twL9k https://t.co/s7uSXgT3QG
Best Practices for Putting LLMs into Production https://t.co/xJ5rPJVFyX