Foundational Computational Linguistics Concepts and how they relate to Language Models LLMs are all the rage, and to use them effectively as engineers and users of any kind we could benefit from thinking about them in the context of some core Natural Language Processing (NLP) concepts. At New Math Data, we’ve been building a lot […]
Introduction HireBot is a chatbot designed to streamline the initial screening process of candidate resumes and profiles for recruiters and hiring managers. It leverages natural language processing to interpret resumes, allowing users to query candidate information through a natural language interface. The primary issue HireBot addresses is the time-consuming nature of manual resume screening, reducing […]
Generally and historically, data engineering, analytics, and science efforts focused on progressing from data to knowledge/wisdom. The emergence of LLMs allows for the decomposition of wisdom/knowledge back down to data. This can enable novel discovery, integrate with information systems, and drive automated processes. GenAI Categories Generation: Use bedrock models to create code, text, or images […]
co-authors: Meghana Venkataswamy, Sean Cahill, Salman Ahmed Mian Architecture What is a Foundational Model? How Do we customize the FM to our Data and needs? Our /hr-bot uses RAG Technique FAISS (Facebook AI Similarity Search) What is AWS Kendra LangChain AWS Bedrock Slack integration Terraform Challenges and opportunities Navigating policy and rules in a large […]
· The role of large language models in creating knowledge graphs from unstructured data.· Comparison of Top Models· Storage Platforms for Knowledge Graphs· Practical Example: Knowledge Graph from Wikipedia Text· Best Practices and Tips for Using Large Language Models in Knowledge Graph Creation· Conclusion In the vast realm of data, the ability to meaningfully connect […]