Ep38: Strategic Prompt Engineering for Enhanced LLM Responses – Part III

03/08/2024 32 min

Listen "Ep38: Strategic Prompt Engineering for Enhanced LLM Responses – Part III"

Episode Synopsis

Dive into the latest episode where we uncover a suite of transformative AI technologies and innovations. This episode highlights developments from SpreadsheetLLM’s new methods for processing complex spreadsheet data to GoogleColab’s enhanced collaborative platform, which is revolutionizing AI development. We also discuss Groq's breakthroughs in AI inference speeds with the Llama-3-Groq models and explore Hugging Face's advanced tool-use capabilities with their Llama-3-Groq-8B model. Additionally, the Unsloth Project on GitHub is featured for its significant improvements in fine-tuning large language models with reduced memory usage. Each segment ties into the broader theme of enhancing AI's efficiency and capability through innovative tools and techniques.
Main Topics:

Toolformer: Explore how Toolformer is pushing the boundaries of AI by teaching language models to autonomously use external tools, significantly boosting their problem-solving abilities.

ART Methods: Delve into the ART framework which is revolutionizing large language models by equipping them with the ability to perform automatic multi-step reasoning and tool-use.


Tune in to discover how these advanced technologies are creating new paradigms in the AI landscape!

AI News:

[2407.09025] SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

https://x.com/GoogleColab/status/1815500302277394779

Introducing Llama-3-Groq-Tool-Use Models - Groq is Fast AI Inference

https://huggingface.co/Groq/Llama-3-Groq-8B-Tool-Use

GitHub - unslothai/unsloth: Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory


References for main topic:

[2210.03493] Automatic Chain of Thought Prompting in Large Language Models

[2302.04761] Toolformer: Language Models Can Teach Themselves to Use Tools

[2303.09014] ART: Automatic multi-step reasoning and tool-use for large language models

GitHub - bhargaviparanjape/language-programmes


Tags: #AI #MachineLearning #TechnologyInnovation #AIApplications #PromptEngineering




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