Prompt Engineering

Category: LLM

  • Improve Your Claude Prompts

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    Fraser
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    A new tool from Anthropic to improve your prompts by following best practices for more reliable output. Take your existing prompt and automatically refine it. It will optimise the prompt for use with Claude. The prompt improver uses methods such as Chain-of-thought reasoning, will improve structure, format examples correctly in XML format that Claude prefers,…

  • A Survey of Prompting Techniques

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    Fraser
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    The Prompt Report: A Systematic Survey of Prompting Techniques is a comprehensive resource that offers a structured understanding of prompts, a taxonomy of prompting techniques, and a meta-analysis of the entire literature on natural language prefix-prompting. It provides a robust vocabulary of 33 terms, a taxonomy of 58 text-only prompting techniques, and 40 techniques for other modalities.…

  • Llama 3 Groq Tool Use Models

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    Fraser
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    Groq has introduced an open source finetune of Llama 3 for tool use. It performs highly on the Berkeley Function Calling leaderboard, making it a top contender for tool use LLMs. It outperforms proprietary models like Claude Sonnet 3.5, GPT-4, and Gemini 1.5 Pro. Notably, it was trained solely on synthetic data. The model processes…

  • Real-World Examples of LLMs in Retail: From Personalised Recommendations to Employee Assistance

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    Fraser
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    LLMs are an amazing new technology, but we are still in the early days of figuring out the best ways to put them to use. This article covers some real-world examples of how businesses are already leveraging Cohere’s LLM technology to improve their operations and customer experience, as described here. First, LLMs are being used…

  • 01.AI and their Yi models

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    Fraser
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    Chinese startup, 01.AI, has launched their first proprietary model, Yi-Large this week, and is comparable to the performance of GPT-4. The AlpacaEval Leaderboard currently has the model ranked third. https://tatsu-lab.github.io/alpaca_eval The model is available with sign up through their API and offer Yi-Large and Yi-Large-RAG. Yi-1.5 is an upgraded version with stronger performance in coding,…

  • Gorilla LLM

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    Fraser
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    Gorilla LLM is an open-source project that connects LLMs to APIs, accurately returning API calls for a specific task provided by the user in natural language. It has been developed by researchers from UC Berkeley and Microsoft Research. Its primary objective is to improve the ability of LLMs to effectively utilise tools through API calls,…