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Some weeks are loud. This one was quieter but not in a good way. Long-running operations are finally hitting courtrooms, old attack methods are showing up in new places, and research that stopped being theoretical right around the time defenders stopped paying attention. There's a bit of everything
LiteLLM had obtained two security compliance certifications via Delve and fell victim to some horrific credential-stealing malware last week.
When You're Reading CoT, the Model Is Thinking Something Else Thinking models are everywhere now. DeepSeek-R1, Claude 3.7 Sonnet, Qwen3.5 — models that show you their reasoning process keep multiplying. When I run Qwen3.5-9B on an RTX 4060, the thinking block spills out lines of internal reasoning.
LiteLLM offers an AI open source project used by millions that was infected by credential harvesting malware.
TeamPCP, the threat actor behind the recent compromises of Trivy and KICS, has now compromised a popular Python package named litellm, pushing two malicious versions containing a credential harvester, a Kubernetes lateral movement toolkit, and a persistent backdoor. Multiple security vendors, includ
We’ve become remarkably good at building sophisticated agent systems, but we haven’t developed the same rigor around proving they work. The post Production-Ready LLM Agents: A Comprehensive Framework for Offline Evaluation appeared first on Towards Data Science.
The LLM and AI Agent Releases That Actually Matter This Week Most LLM updates don’t matter. These might. LLMs without tools are like Formula 1 cars on a treadmill. Fast, impressive, and going nowhere. This week dropped a wave of “big” AI updates. Here’s what actually deserves your attention, and wha
If you've been using AI coding assistants like GitHub Copilot, Cursor, or ChatGPT lately, you’ve probably noticed something fundamentally changing about how we write UI. These tools are churning out components at blistering speeds. But there’s an open secret in the AI coding world: LLMs are absolute
Stop Fine-Tuning Your LLMs. RAG Exists and It's Not Even Close. Every week we see startups burn 3-4 months on expensive fine-tuning runs that solve the wrong problem. We've shipped AI products for fintech, logistics, and SaaS platforms — and the pattern is almost always the same: teams confuse "teac
I've been experimenting with piping raw git diff output into LLMs for automated security review, and I wanted to share what I've learned because some of the results surprised me. A teammate refactored a SQL query from string concatenation to an f-string. The diff looked like an improvement: - query
Context windows are getting huge, but token budgets are tightening. Every time your agent iterates in an autonomous loop, you're potentially sending a massive, bloated prompt filled with conversational filler, redundant whitespace, and low-entropy "slop." Today, I've merged the Prompt Token Rewriter
Originally published at adiyogiarts.com Prevent LLM pre-training collapse with synthetic data pipelines. Discover strategies for maintaining data quality and diversity, ensuring resilient AI development. WHY IT MATTERS Generative model collapse refers to the gradual decline in the quality and utilit
Your AI agent keeps picking the wrong tool. You tweak the system prompt. You add "IMPORTANT: use search_database, NOT search_web." It helps for a day, then breaks again. The problem is not the model. The problem is your tool definitions. LLMs decide which tool to call based on three things: the tool
It’s a feature of the architecture The post Hallucinations in LLMs Are Not a Bug in the Data appeared first on Towards Data Science.
I have tested how OpenCode works with several locally hosted on Ollama LLMs, OpenCode is one of the most promising tools in the AI developer tools ecosystem right now. The 27b at IQ3_XXS quantization delivered a complete, working Go project with all 8 unit tests passing, full README, and 34 tokens/s
Privacy. Cost. Customization. Everything you need to know—step by step. The post Self-Hosting Your First LLM appeared first on Towards Data Science.
