Tools & Tooling in Agentic AI Workflows
In our last post, Understanding the ReAct Prompting Framework in Agentic AI, we talked about how AI agents think before […]
Understanding the ReAct Prompting Framework in Agentic AI
In our previous post about AI Agents and API Keys, we talked about how digital assistants gain access to the
Tools Accessible to AI Agents via API Keys
If the first wave of AI agents showed us that chatbots can think, the next wave proves they can act.
AI Agents: What They Are and Why They’re Suddenly Everywhere
If you’ve ever wished a chatbot could actually finish a task instead of just talking about it, that’s what AI
What Is Prompt Engineering? Key Terms & Methods
Sometimes a prompt just lands – the reply is clear and ready to use. That’s the core of prompt engineering:
Model Infrastructure (for LLMs)
Model infrastructure is just the setup that keeps LLMs running in sync – compute, memory, networking, and software working in
Model Tuning & Fine-Tuning AI Models
General-purpose AI is like a student who has read the whole library, brilliant but not automatically an expert in your
AI model training explained: from pre-training to sampling
AI model training has four moving parts: pre-training, post-training (fine-tuning), training data, and sampling at inference. When these work together,
What is a Foundational Model (LLM)?
A foundational model is a large-scale AI system trained on broad data that can be adapted to many tasks. A
How do transformers work in Gen AI technologies?
How do machines understand human language? Machines use natural language processing (NLP) and neural networks trained on large datasets to