Obot Learning Center – Page 4
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.
Open LLM Leaderboard: Benchmarks, Model Types & Filters Explained
Explore the LLM Leaderboard to compare open-source Large Language Models and chatbots on various benchmarks and evaluation metrics.
Anthropic Claude 3: The Basics and a Quick API Tutorial
Explore the capabilities of Anthropic Claude, the latest in large language models featuring Claude 3 and its three editions.
MCP Call Filtering: Stopping Prompt Injection and Securing Enterprise AI
As enterprises adopt Model Context Protocol (MCP) to connect AI agents and tools with internal systems, one of the biggest risks they face is untrusted or unsafe tool calls. Without safeguards, a malicious prompt, injected instruction, or poorly validated request could trigger dangerous behavior—such as exposing sensitive data, running unauthorized actions, or even spreading malware. […]
LLM Security: Top 10 Risks, Impact, and Defensive Measures
What Is LLM Security? LLM security focuses on safeguarding large language models against various threats that can compromise their functionality, integrity, and the data they process. This involves implementing measures to protect the model itself, the data it uses, and the infrastructure supporting it. The goal is to ensure that these models operate as intended […]