How to Cut Your AI Agent’s Context Cost With GPT‑6 Prompt Caching
Author(s): Abhishek Badar Originally published on Towards AI. If your AI agent repeatedly sends the same system instructions, documentation, tool definitions, coding standards, or repository context, you may be paying to process essentially the same tokens on every request. GPT‑6 Sol and …
I Was Paying Descript $24 a Month. So I Built My Own Transcript-Based Video Editor
Author(s): Amin Uddin Originally published on Towards AI. transcriptcut — edit video by editing the transcript I edit videos the same way I edit text. When I’m recording a video and say something stupid, repeat myself, or spend thirty seconds explaining something …
How to Use V-JEPA 2.1 with Video and Sensor Data
Author(s): Kishor Datta Gupta Originally published on Towards AI. How to Use V-JEPA 2.1 with Video and Sensor Data I started with a simple experiment: take a daylight road scene, add rain and darkness, and see how V-JEPA 2.1 responds. The visual …
What Is Jev AI? A Practical Guide to System One and Executable Decisions
Author(s): James Li Originally published on Towards AI. When you add AI to an agent, support system, workflow, or SaaS product, the hardest part is often not asking a model to write a paragraph. The hard part is making small decisions consistently …
Why Does llama.cpp’s Own API Give Xiaomi’s MiMo V2.6 Flash 9x the KV Cache?
Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. At 128K tokens the model needs 2.96 GiB of cache. libllama’s default context settings would allocate 27.19 GiB, llama-cpp-python’s 28.31. Two flags fix it. If you load Xiaomi’s new MiMo …
Why Does llama.cpp’s Own API Give Xiaomi’s MiMo V2.6 Flash 9x the KV Cache?
Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. At 128K tokens the model needs 2.96 GiB of cache. libllama’s default context settings would allocate 27.19 GiB, llama-cpp-python’s 28.31. Two flags fix it. If you load Xiaomi’s new MiMo …
Your AI Agent Has No Idea What It Knows
Author(s): Hubert Nakielski Originally published on Towards AI. Your AI Agent Has No Idea What It Knows Imagine a filing cabinet with half a million documents about home renovation. Somewhere inside sits one file about a football club. Now someone asks your …
One Function, 92% of the CPU: Profiling an Azure Cobalt Workload with Arm Performix
Author(s): Dave R | Microsoft Azure & AI MVP ☁️ Originally published on Towards AI. How targets, recipes, and an MCP server turn Arm hardware counters into a fix you can verify Here is a result worth pausing on. When Arm Performix …
The Chain Rule Explained with Animated Pictures Instead of Proofs.
Author(s): Kamrun Nahar Originally published on Towards AI. The chain rule is the most used rule in data science. Here is how it works, why it is true, and where you meet it again and again later. The last time I changed …
Temperature, Softmax, and the Mechanism of Attention
Author(s): Dr Swarnendu AI Originally published on Towards AI. Starting Point (The Observation) You compute attention weights using softmax: The article explains how temperature modifies softmax by dividing the exponent input, changing the concentration of attention weights from peaky (low T) to …
Claude Code MCP Setup Guide: 3 Ways to Configure & Fix Errors
Author(s): Web Researcher Originally published on Towards AI. Claude Code MCP Setup Guide: 3 Ways to Configure & Fix Errors Although Claude Code can complete tasks such as code writing and file operations, it still needs external tools to expand its capabilities …
Claude Code MCP Setup Guide: 3 Ways to Configure & Fix Errors
Author(s): Web Researcher Originally published on Towards AI. Claude Code MCP Setup Guide: 3 Ways to Configure & Fix Errors Although Claude Code can complete tasks such as code writing and file operations, it still needs external tools to expand its capabilities …
Chunking Strategies for Production RAG: From Fixed-Size to Context-Aware and Multimodal Retrieval
Author(s): Raj kumar Originally published on Towards AI. Complete RAG Engineering Series, Part 4 | A practical guide to fixed-size, semantic, parent-child, proposition, late chunking, contextual retrieval, RAPTOR, and multimodal chunking for enterprise RAG systems This is Part 4 of The Complete …
What is a Kernel
Author(s): Utkarsh Mittal Originally published on Towards AI. What is a Kernel A kernel is a similarity function. That is the whole idea. Nine points on a line. Gold in the middle, blue at both ends.After introducing kernels as similarity functions, the …
I Failed a Memory-layer System Design Round. So I built one!
Author(s): Swaraj Originally published on Towards AI. How studying Mem0-style architecture led me to CogLayer — a hands-on lab for the read/write memory loop behind modern AI agents. A few weeks ago I sat in a system-design conversation with a NYC-based startup. …
Recent Posts
