Obot Learning Center – Page 5
Working with Gemini API: Text Gen, Doc Processing & Code Execution
What Is the Google Gemini API? Google Gemini is a multi-modal large language model (LLM). It provides natural language and image processing capabilities to enable text generation, sentiment analysis, document processing, image and video analysis, and more. Using the Gemini API, developers can integrate AI functionalities into their applications without needing deep expertise in machine […]
Code Interpreter: Traditional vs. LLM Use Cases & Top 5 Tools
Learn the differences between traditional and LLM code interpreters and find the top five tools to support analysis, automation and data tasks.
Parameter-Efficient Fine-Tuning (PEFT): The Basics and a Quick Tutorial
Explore Parameter-Efficient Fine-Tuning to reduce training time and resources while achieving high performance in neural networks.
Top 10 RAG Tutorials in 2024 + Bonus LangChain Tutorial
What Is Retrieval Augmented Generation (RAG)? Retrieval-augmented generation (RAG) combines large language models (LLMs) with external knowledge retrieval. Traditional LLMs generate responses based solely on pre-trained data. With RAG, the model can access updated and specific information at the time of inference, providing more accurate and context-rich responses. This method leverages repositories of external data, […]
8 Prompt Engineering Examples for Common NLP Tasks
What Is Prompt Engineering? Prompt engineering involves crafting specific instructions or queries for large language models (LLMs) to get desired outputs. It plays a crucial role in fine-tuning the capabilities of models like OpenAI’s GPT-4o, Google Gemini, and Anthropic Claude, ensuring they deliver accurate, relevant, and contextually appropriate responses. Instead of merely providing a broad […]
Mistral AI Solution Overview: Models, Pricing, and API
Explore Mistral AI's innovative large language models designed for natural language processing and more. Discover cutting-edge solutions.
What Are AI Agents? A Complete Guide
What Are AI Agents? AI agents are software entities that perform tasks autonomously. They make decisions based on predefined rules, machine learning models, or a blend of both. Their design centers around achieving specific goals without constant human intervention. These agents can range from simple mechanisms executing repetitive tasks to complex systems navigating dynamic environments […]
LLM Platform: Key Features & 10 Solutions You Should Know
Explore what an LLM platform is — its key features, lifecycle from data prep to deployment, and 10 top solutions every enterprise should know.
Open Interpreter: How It Works, Supported LLMs & Getting Started
Explore the capabilities of the Code interpreter, an open-source tool for working with large language models on your local machine.
Intelligent Automation: Pros/Cons, Use Cases & 5 Key Capabilities
What Is Intelligent Automation (IA)? Intelligent automation (IA) is the integration of artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to create systems that can perform both routine and complex tasks. These systems improve over time by learning from data and user interactions, leading to increased efficiency and decision-making capabilities. By using […]
Prompt Engineering in ChatGPT: 9 Proven Techniques
What Is Prompt Engineering in ChatGPT? Prompt engineering involves crafting inputs (prompts) that guide a large language model (LLM) to generate desired outputs. It’s a skill that combines understanding of natural language processing, creativity, and strategic thinking to communicate with the model. Prompt engineering can transform vague requests into precise commands that the AI interprets […]
LLM Application Development: Tutorial & 7 Steps to Production Apps
LLM application development involves creating software applications that leverage LLMs like OpenAI GPT or Meta LLaMA to generate, or manipulate natural language.