Product Release
Secure Your Keys, Track Your Costs: any-llm Managed Platform Enters Open Beta
Secure, encrypted LLM API key management across OpenAI, Anthropic, Google providers. Track costs, set budgets, avoid vendor lock-in. Free beta access now.
Hareesh Bahuleyan
Machine Learning Engineer at Mozilla.ai with a background in NLP and text generation. Hareesh is keen on building and deploying ML systems for real-world scenarios.
Product Release
Meet mcpd: requirements.txt for agentic systems
mcpd is to agents what requirements.txt is to applications: a single config to declare, pin, and run the tools your agents need, consistently across local, CI, and production.
Technical Content
Smarter Prompts for Better Responses: Exploring Prompt Optimization and Interpretability for LLMs
Generative AI models are highly sensitive to input phrasing. Even small changes to a prompt or switching between models can lead to different results. Adding to the complexity, LLMs often act as black-boxes, making it difficult to understand how specific prompts influence their behavior.
Technical Content
Evaluating Local LLMs on Translation Use Case with Lumigator
LLMs have transformed a wide array of NLP applications, but concerns about privacy, data security, and control hinder LLM adoption for both individuals and enterprises. In this blog post, we focus on local LLMs, which offer a compelling alternative to cloud-based solutions.