Learning Center
15 Amazing GenAI Tools to Try in 2024
What Are GenAI Tools? GenAI tools, short for generative AI tools, leverage artificial intelligence to generate content across various mediums. They are trained on vast datasets, enabling them to perform tasks such as text writing, image creation, code generation, and video production. These tools augment human creativity by automating tasks and offering new ways to […]
AI Copilots: Enterprise Use Cases and Key Considerations
What Is an AI Copilot? AI copilots are digital assistants that augment human capabilities. They utilize artificial intelligence, commonly large language models (LLMs), to assist with functions ranging from code generation to creative writing and decision making. Unlike basic automation systems, AI copilots refine their outputs based on contextual information, user interactions and feedback. They […]
Aisera: Overview of Platform, Solutions, Pros and Cons
What Is Aisera? Aisera provides AI-driven service automation solutions to enhance user experience and streamline enterprise operations. Utilizing machine learning and natural language processing technologies, Aisera delivers scalable solutions for IT service management, customer service, and enterprise operations. These AI tools enable organizations to automate and optimize workflows, reducing manual labor and increasing efficiency. By […]
Parameter-Efficient Fine-Tuning (PEFT): The Basics and a Quick Tutorial
Parameter-Efficient Fine-Tuning (PEFT): The Basics and a Quick Tutorial Parameter-efficient fine-tuning (PEFT) modifies a subset of parameters in pre-trained neural networks, rather than updating all model parameters. Traditional fine-tuning methods can be computationally intensive, requiring significant resources and storage. PEFT aims to mitigate these challenges, focusing on adjusting a limited number of parameters to achieve […]
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 […]
LLM Platform: Key Features & 10 Solutions You Should Know
What Is an LLM Platform? An LLM platform provides an environment for developing, deploying, and managing large language models (LLMs), such as OpenAI GPT, Anthropic Claud, and Meta LLaMA, and applications that rely on them. These platforms provide the necessary infrastructure, tools, and features to streamline the entire lifecycle of LLMs, from data preparation and […]
Fine-Tuning Llama 2 with Hugging Face PEFT Library
Fine-Tuning Llama 2 with Hugging Face PEFT Library What Is LLaMA 2? LLaMA2, introduced by Meta in 2023, is a family of open-source large language model (LLM). It includes models with either 7 billion or 70 billion parameters. The number of parameters in an LLM determines the model’s ability to learn from data and generate […]
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
What Is LLM Application Development? LLM application development involves creating software applications that leverage large language models (LLMs) like OpenAI GPT or Meta LLaMA to understand, generate, or manipulate natural language. This process includes integrating LLMs into applications to perform tasks such as text summarization, question answering, and content generation. Developers in this field work […]
Fine-Tuning LLMs: Top 6 Methods, Challenges and Best Practices
What Does It Mean to Fine-Tune LLMs? Fine-tuning Large Language Models (LLMs) involves adjusting pre-trained models on specific datasets to enhance performance for particular tasks. This process begins after general training ends. Users provide the model with a more focused dataset, which may include industry-specific terminology or task-focused interactions, with the objective of helping the […]
Cohere AI: Models, Pricing, and Quick API Tutorial
What Is Cohere AI? Cohere AI is a technology company focusing on large language model (LLMs) technologies for enterprise use cases. It provides LLM-based solutions that help customers understand, generate, and work with human language. Through its services, organizations can automate customer support, generate content, and extract insights from large volumes of text. Cohere AI’s […]