Tool Calling in LLMs
Introduction LLMs are all the rage, and the tool-calling feature has broadened the scope of large language models. Instead of ...
Tag: LLMs
Turing-Complete-RAG (TC-RAG): An innovative framework that improves accuracy and reliability in medical LLMs through dynamic state management and adaptive recovery
The field of large language models (LLMs) has evolved rapidly, particularly in specialized domains such as medicine, where accuracy and ...
ChatGPT-4 vs. Llama 3.1 – Which Model is Better?
Introduction artificial intelligence has seen remarkable advancements in recent years, particularly in natural language processing. Among the numerous ai language ...
This AI paper proposes to use the AI-based Agent Workflow (AgWf) paradigm to improve the effectiveness of Process Mining (PM) in LLMs.
Process mining is a part of data science that deals with the analysis of event logs produced by information systems ...
Neural Magic releases LLM Compressor: a new library to compress LLMs and achieve faster inference with vLLM
Neural Magic has released the LLM Compressora state-of-the-art tool for optimizing large language models that enables much faster inference through ...
How to Get JSON Output from LLMs: A Practical Guide | by Youness Mansar | August 2024
Tutorial on how to apply JSON output with Llama.cpp or the Gemini APIPhoto by Etienne Girardet in Stop splashingLarge language ...
Llama 3.1 70B vs Llama 3 70B: Which is Better?
Introduction On July 23, 2024, Meta launched its latest flagship model, the Llama 3.1 405B, along with smaller variants: the ...
Apple researchers present KGLens: a new artificial intelligence method designed to visualize and evaluate the factual knowledge embedded in LLMs
Large language models (LLMs) have gained significant attention for their versatility, but their veracity remains a critical concern. Studies have ...
Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock
This blog is part of the series, Generative ai and ai/ML in Capital Markets and Financial Services. Company earnings calls ...
History and future of LLMs
Origin of LLM: NLP and neural networks Building large language models did not happen overnight. Surprisingly, the first concept of ...
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