-
Understanding Agentic AI: The Next Evolution in Artificial Intelligence
Artificial Intelligence (AI) has traditionally been viewed as a set of models that process data and generate outputs based on predefined rules or learning patterns. However, a new paradigm called Agentic AI is emerging, focusing on autonomy, decision-making, and goal-directed behavior. There is an increasing buzz around…
-
Using RAG to create an AI expert about your Company
Have you ever thought, “I’ve answered this question so many times!” or “This information is available online—why are they asking me?” If not, congratulations—you’re one of the lucky ones! But for most of us, these thoughts have crossed our minds at some point. Wouldn’t it be great…
-
Hands-On Tutorial: Using AI Agents to abstract Complex APIs
Leveraging LangChain’s OpenAPI Toolkit enables us to build AI agents that can abstract the complexities of interacting with large APIs. By separating high-level planning from low-level execution, agents can navigate extensive API specifications more efficiently, minimizing token usage and improving the coherence of long interaction sequences. In…
-
Hands-on Tutorial: Using Hugging Face to quickly Develop and Test ideas
In the rapidly evolving landscape of artificial intelligence and machine learning, the ability to swiftly prototype and test ideas is a crucial asset for researchers, developers, and data scientists alike. Hugging Face, a leading provider of cutting-edge natural language processing tools and models, has become an essential…
-
Hands-on Tutorial: Fine-Tuning a Pre-trained Model
Fine-tuning a pre-trained model is a powerful technique that allows you to adapt a model to specific tasks with minimal additional training. Whether you’re working on sentiment analysis, question-answering, or text generation, the process of fine-tuning can significantly enhance performance tailored to your dataset. In this tutorial,…