Resources

Tools – LLMs Tools

Our team have developed a series of LLM open-source resources

FinTalk

FinTalk-19k is a domain-specific dataset designed for the fine-tuning of Large Language Models (LLMs) with a focus on financial conversations. Extracted from public Reddit conversations, this dataset is tagged with categories like “Personal Finance”, “Financial Information”, and “Public Sentiment”. It consists of more than 19,000 entries, each representing a conversation about financial topics.

FinanceConnect LLM

FinanceConnect is an open-source chat model tailored for finance and economic discussions. Built on the robust Llama2-13B architecture, this model has been fine-tuned on a combination of FinTalk-19k and Alpaca datasets, making it a valuable resource for finance professionals, researchers, and enthusiasts.

LLM Connect API

LLMConnect API is a developer-friendly Python-based CLI utility designed to manage and evaluate Language Models including LLMs and SLMs on local servers or clusters. It enables users to run a variety of standard and custom tasks with popular models such as Llama-2, Mistral, Falcon, Phi-2 etc., and also supports the integration of new LLMs.

LLMXplorer

 LLMXplorer is a powerful resource designed for researchers and businesses seeking to explore the vast landscape of both open source and closed source Language Models (LLMs). With LLMXplorer, you can gain valuable insights into the evolution of LLM technologies and stay up-to-date with the latest developments. It offers a consolidated overview of various features associated with LLMs, empowering you to make informed decisions based on your specific requirements.

CeADAR YouTube Channel

CeADAR has its own YouTube Channel where you can access all previous Tech Talks in addition to a number of knowledge transfer courses previously delivered online as part of our Lighthouse Projects.

Examples of topics covered include:

• Privacy-Preserving Machine Learning
• Self-supervised Learning
• AI Digital Twin
• Graph Convolutional Networks