by CPI Staff | Oct 12, 2026 | AI, Blog, Tiktoken
In this blog post Integrate Tiktoken in Python Applications Step by Step Guide we will explore what tokens are, why they matter for large language models, and how to integrate OpenAI’s Tiktoken library into your Python application with a simple, step-by-step example....
by CPI Staff | Oct 12, 2026 | AI, Blog, LLM
In this blog post Step-back prompting explained and why it beats zero-shot for LLMs we will explore a simple technique that reliably improves reasoning quality from large language models (LLMs) without adding new tools or data. At a high level, step-back prompting...
by CPI Staff | Oct 12, 2026 | AI, Blog, OpenAI
In this blog post Extracting Structured Data with OpenAI for Real-World Pipelines we will turn unstructured content into trustworthy, structured JSON you can store, query, and automate against. Whether you process invoices, support emails, resumes, or contracts, the...
by CPI Staff | Oct 12, 2026 | AI, Blog, OpenAI
In this blog post Understanding OpenAI Embedding Models and Practical Ways to Use Them we will unpack what OpenAI’s embedding models are, how they work under the hood, and how to put them to work in search, retrieval augmented generation (RAG), clustering, and...
by CPI Staff | Oct 12, 2026 | AI, Blog, Neo4j
This article “GraphRAG Explained” will explain what is GraphRAG and how incorporated with LLM. What is GraphRAG? Graph-Based Retrieval Augmented Generation is a way to supercharge Retrieval Augmented Generation (RAG) by storing your knowledge as a graph...
by CPI Staff | Oct 12, 2026 | AI, Blog, LLM
In this post “What Are Tensors in AI and Large Language Models (LLMs)?”, we’ll explore what tensors are, how they are used in AI and LLMs, and why they matter for organizations looking to leverage machine learning effectively. Artificial Intelligence (AI)...
