Skillenai
Investment research is broken — slow reports, scattered data, and surface-level insights. That’s why we built TheAnalystAI — a next-gen research engine that delivers deep, actionable insights across stocks, crypto, forex, commodities, and more — all in under 5-15 minutes. What is TheAnalystAI? TheAnalystAI is an advanced AI-powered research platform designed to revolutionize how investors, […]
Anthropic is redefining Retrieval-Augmented Generation (RAG) systems by addressing one of their most persistent limitations: lack of context. Traditional RAG pipelines rely on semantic similarity and keyword matching to retrieve relevant information chunks, but they often miss critical details hidden in surrounding content. Anthropic’s new approach—built on contextual embeddings and chunk-aware prompting—improves precision, reduces retrieval […]
As AI and data science writers we may not put too much thought into how to maximize the reach of our blog articles. We focus first and foremost on writing high-quality content, then maybe share it on our social media accounts and call it a day. But that only scratches the surface. In this article […]
A concise, personal comparison of key LLM architectures developed over the past few years. This document reflects my individual understanding and curiosity-driven research from the year 2017 to February 2025. This is by no means an exhaustive list, and many other excellent models exist in the field. 🎯 List of LLMs Covered (2017–2025) Transformer, BERT, […]
Imagine a marketing firm that lost a $2.3 million client when an employee asked an AI to “handle” a response to a client inquiry. The AI confidently generated an email with fabricated product information that reached key stakeholders before anyone realized the error. This wasn’t merely a costly mistake but a clear illustration of what […]
In the AI Agents world of Retrieval-Augmented Generation (Agentic-RAG), one challenge that persists is how Agents chunk our source documents to optimize response accuracy and relevance. This blog series dives into how different chunking strategies — Fixed, Semantic, Agentic, and Recursive Chunking— impact the performance of Agentic RAG systems. Using Agno for creating agent and orchestration and […]
Burr – a stateful AI decision engine that allows developers to build structured, interactive AI workflows efficiently. In this article, we will: ✅ Explore Burr’s stateful AI workflow✅ Build an AI-powered chatbot using Burr✅ Deploy the chatbot with structured transitions and state updates✅ Compare Burr with other AI orchestration tools By the end, you’ll have […]
Use CrewAI to build a useful AI Agent with just a few lines of code. At the beginning of this year, I heard someone saying that 2025 was going to be the year of agentic AI when we would start using AI to perform tasks for us instead of only responding to prompts. But first […]
Building AI applications that truly deliver has been my obsession lately, and I’ve finally cracked something worth sharing. By creating a Kafka-MCP server and connecting it with our existing Qdrant-MCP server, we’ve transformed how our team handles communication and data retrieval. The real magic happened when we linked this setup to Claude for Desktop — suddenly our […]
Introduction As we grapple with the escalating climate crisis, the juxtaposition of artificial intelligence (AI) presents a compelling paradox. On one hand, training a single large language model (LLM) emits over 300 tons of CO₂, contributing to the very problem we seek to solve. Conversely, AI-driven energy grids hold the potential to reduce global emissions […]