Towards AI
“Towards AI” is a platform that delves into various aspects of artificial intelligence and machine learning. The content covers topics such as data augmentation for machine learning, Python programming scripts, and the use of Python in web3, blockchain, and smart contracts. Additionally, it explores the challenges and solutions in building AI applications with features like short-term memory and persistent conversation history. The platform also discusses the importance of understanding and utilizing enterprise-grade tools like Spark, EMR on EKS, and Airflow 3 for creating secure and efficient knowledge bases for AI applications.
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OpenAI Just Hit the Brakes on AI Development After Its AI Agent Hacked Hugging Face
I route most of my model calls through OpenRouter so I can swap providers in seconds. That habit is exactly why this story stopped me cold… Continue reading on Towards AI
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From Pretraining to Agentic K3: How Moonshot Trained the Architecture
Part 3 of Inside Kimi K3 — how Moonshot turned the architecture from Parts 1 and 2 into a multimodal, million-token, reasoning and agentic model Part 1 was about capacity: how K3 grew to 2.8 trillion...
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From KV Cache to Depth Attention: The Bottlenecks Kimi K3 Had to Break
Part 2 of Inside Kimi K3 — how Moonshot rebuilt long-context memory with Kimi Delta Attention, why it still kept global attention, and how the same idea was extended across 93 layers Previously in Pa...
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The 2.8-Trillion-Parameter Problem: Why Bigger Models Break the Old Playbook
Part 1 of Inside Kimi K3 — a series on how a 2.8T-parameter open model was engineered to actually be servable Here’s a question that sounds simple and isn’t: how do you scale a language model to 2.8 t...
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Qdrant + Go: 768-Dim Vector Search With 4× Less Memory
Rust-backed speed, payload filters, and int8 quantization — every snippet runs. Continue reading on Towards AI
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NVIDIA NeMo Switchyard: Cut LLM Costs 44% With Smart Routing
It nails routing and protocol translation. Production still needs four more pieces. Continue reading on Towards AI
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Building AI Video Agents in 2026: A Developer’s Guide to Agentic Video Generation
How AI agents are automating video generation, and what developers need to know about APIs, tools, and architecture in 2026 We watched video generation stop being a single API call sometime in the la...
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Qwen 3.6 Runs Atomic Agent on a 3,000-Token Budget. Its Prompt Opens at 6,064.
Atomic Agent ships a config file with a knob called agent.tokenBudget. Continue reading on Towards AI
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It’s Not You: The Engineering Reasons LLMs Feel Dumber
Anthropic just admitted their model got lazier. Here are the five hidden mechanisms making your AI worse, and the exact code to catch them. Continue reading on Towards AI
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Mastering LangChain: The Ultimate Guide to LLM Orchestration (Part 1 — Fundamentals)
The Generative AI landscape is moving at breakneck speed. While API access to frontier models has democratized artificial intelligence, building reliable, production-grade applications requires much m...
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More Reasoning ≠ Better Answers
This Khan Academy study proves it. Continue reading on Towards AI
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6 Things I Learned From Anthropic’s AI Agent Turf War
Three Claude agents were given conflicting goals. They started a war, then negotiated a truce. Continue reading on Towards AI
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