An exploration of the emergence of Delvish, a dialect created by Large Language Models (LLMs) that is increasingly prevalent online. The article delves into its characteristics, linguistic quirks, and potential implications.
This article provides a step-by-step guide on fine-tuning the Llama 3 language model for customer service use cases. It covers the process of data preparation, fine-tuning techniques, and the benefits of leveraging LLMs in customer service applications.
GitHub Copilot now offers text completion for pull request descriptions. This beta feature helps developers write more effective descriptions by suggesting completions based on context.
Exploring physical interface design for LLMs, with projects like AIncense and TinyChat Computer, empowering users through tangible experiences.
Learn how to fine-tune large language models like Llama 3 for function calling, enabling interaction with external tools and APIs for tasks like web search and math operations.
A framework for evaluating and comparing Large Language Models (LLMs) in a dynamic, competitive environment.
Triplex is an open-source model that efficiently converts unstructured data into structured knowledge graphs at a fraction of the cost of existing methods. It outperforms GPT-4o in both cost and performance, making knowledge graph construction more accessible.
Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vectors, now in oobabooga text generation webui!
An extension for oobabooga/text-generation-webui that enables the LLM to search the web using DuckDuckGo
Large Model Proxy is designed to make it easy to run multiple resource-heavy Large Models (LM) on the same machine with limited amount of VRAM/other resources.
