Manus & AI Agent
Have you heard of Manus, the AI agent being hailed as the next DeepSeek and taking the world by surprise? Launched in early March 2025, Manus is a general-purpose AI agent developed by Butterfly Effect, a startup based in Wuhan,...
Is Your AI Aligned With Your Purpose?
Generated by Dall.E In Shakespeare’s King Lear, the king divides his kingdom based on how much his daughters claim to love him. Two flatter him and win his favor; the honest one is cast out. Lear believes their words—but their true motives...
What if LLMs played a game of Mafia?
What would happen if LLMs played a game of Mafia? Could they pick up on subtle clues to identify the Mafia among them? One developer recently ran an experiment to find out—pitting LLMs against each other in a classic game of...
GPT-4.5: First Listen, Then Solve
OpenAI has just unveiled GPT-4.5, but how much of an upgrade is it? Let’s take a look at Dan Shipper’s initial impressions from Every, a publication focused on LLM advancements. 4.5 is not a major step up from 4o, but it is...
Co-scientist: Google’s AI that thinks like a scientist
Microbiologist José Penadés stopped in his tracks while out shopping. Stunned, he even asked his companions for an hour to process what had just happened. Google’s AI research tool, Co-Scientist, had reached the same conclusion his team had spent a decade working on—in...
Deep Dive Into DeepSeek
A major announcement has sent ripples through the AI world—China’s AI startup DeepSeek has unveiled its LLM model, R1. What makes R1 stand out isn’t just its impressive performance but also its significantly lower development costs compared to competitors. On...
Maximizing RAG Performance Through Embedding Tuning
What is Embedding Tuning? Embedding tuning plays a crucial role in optimizing RAG (Retrieval-Augmented Generation) by refining how questions and passages are embedded into numerical vectors. Standard RAG models often face matching issues between queries and answer chunks, especially when...
Structuring Data for Precise Retrieval
How can AI move beyond simply finding answers on a single page to comprehending the context of an entire book and delivering more accurate responses? To effectively search and utilize data, it’s not just about finding large amounts of information—it’s...
RAG- How It Works
Large language models (LLMs) powered by generative AI demonstrate impressive performance across various domains. However, effectively applying AI in real-world scenarios requires a solid understanding of its training methods and strategies for handling data. In this article, we delve into...
Chunking & Indexing Data
Indexing is essential for effectively searching chunked data. It refers to the process of storing chunked data in a database in a way that allows for efficient retrieval. Indexed data enables quick similarity comparisons with search queries, helping the system...