• How to Make Your Agents Dream

    Modern AI agents are getting very good at acting. They can call tools, read documents, query databases, search vector stores, write code, update records, and coordinate multi-step workflows. In other words, they are becoming useful not because they can answer questions in isolation, but because they can participate in real...

  • Santulan - The Space Between Logic and Emotion

    There are moments in life when decisions do not feel like decisions at all. They feel like a quiet tug-of-war. One part of you is calm and almost clinical. It lays out the facts, measures the consequences, reminds you of what is practical, responsible, and safe. The other part does...

  • Why "Be Desirable" Is the Best Career and Life Advice You’ll Ever Get

    I remember a time when the atmosphere at work felt heavy. Rumors of layoffs floated through every hallway and even casual conversations carried a quiet tension. Out of curiosity and maybe a bit of nervousness, I asked my manager what he thought about everything that was happening. He didn’t answer...

  • Walking With Time Instead of Chasing It

    The Science of Time Perception Our brains do not count seconds the way a clock does. Instead, they build a picture of time from our senses and emotions. That is why time can feel different from one situation to another. When we are in danger or in pain, the brain...

  • Stop Quoting Papers, Start Building Models

    We are in an era where AI breakthroughs happen faster than most people can keep up. A new architecture drops on arXiv every week. You open LinkedIn, and someone’s already posting hot takes about the latest fine-tuning technique or debating whether LoRA is still relevant. Everyone’s got an opinion. Everyone...

  • Paper Summaries

    LLaMA-Omni: Seamless Speech Interaction with Large Language Models Introduction In-Depth Look at the LLaMA-Omni Model Architecture Constructing the Training Data: InstructS2S-200K Evaluating LLaMA-Omni’s Capabilities The Perfect Blend: Redefining RLHF with Mixture of Judges Introduction Architecture and Implementation Experimental Results Key contributions of the paper LLaMA-Omni: Seamless Speech Interaction with Large...

  • Diffusion Models

    The Diffusion Process: Reversing the Diffusion: Denoising Synthesizing New Data: Image Generation from Pure Noise Harnessing Text: Conditional Image Generation The Advantages of Diffusion Models: Quality, Diversity, and Stability Diving into the Mechanics of Diffusion Models Forward Diffusion: Reverse Diffusion: The Loss Function: Guiding the Denoising Symphony Time Embeddings: Providing...

  • Building your own Autonomous LLM Agent

    Plan & Tasks Task Object Plan Object Actions and Observations Memory LLM Agent Autonomous LLM Agent References In this blog, we are going to talk about LLM-based autonomous agents. Unlike the typical LLMs we’re accustomed to, which primarily focus on generating textual content, an autonomous LLM agent transcends this by...