Generative AI Wiki

This Generative AI Wiki is your go-to resource for concise information on the cutting-edge concepts of generative AI and its related fields. Explore bite-sized explanations of key terms in this rapidly evolving landscape, gain insights into their significance, and discover how they are implemented in Foundation Models and LLM operations.

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AI Agents

Autonomous AI Agents

Autonomous AI agents are programs that sense their environment and make decisions independently to achieve specific goals without human intervention.

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Generative AI

Chain-of-Thought Prompting

The chain-of-thought(CoT) prompting method enables LLMs to explain their reasoning while enhancing their computational capabilities and understanding of complex problems.

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Foundation Models

Foundation models are large AI models trained using vast quantities of unstructured data to handle various downstream tasks.

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Generative AI

Gen AI is an advanced AI technology that creates new content like text, audio, video, synthetic data, and images.

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Generative AI

Generative Adversarial Networks (GANs)

GANs are a framework for training two neural networks, a generator, and a discriminator, to generate realistic and diverse data.

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Generative AI

Generative Agents

Generative agents are computational software agents capable of simulating believable human behavior to respond to environmental changes.

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AI Agents

Goal-based AI Agents

AI entities that strategize actions based on future outcomes to meet defined objectives, pivotal in Generative AI tasks.

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Generative AI

Hallucination Phenomena

Sometimes, a machine learning model makes predictions or generates data that isn't grounded in its training data. Imagine teaching a computer to recognize cats by showing it pictures. If it starts to say that it sees cats in images without cats, that's a hallucination. The computer is seeing things that aren't there. This can happen when the model is too complex or hasn't been appropriately trained, leading to incorrect or nonsensical outputs.

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NLP/LLMOps

LLMOps

LLMOps is an emerging and specialized domain of MLOps that focuses on operationalizing large language models(LLMs) at scale.

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Generative AI

Multimodal AI

Multimodal AI refers to AI systems that can understand, interpret, and generate multiple data types, such as text, images, sound, and more.

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Generative AI

Prompt Engineering

Prompt engineering is a new field focussed on designing and refining transformer-based LLMs with specific text prompts to guide them for the most accurate outcomes.

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AI Agents

Task-Driven Autonomous AI Agent

A task-driven autonomous AI agent operates independently to achieve defined goals, adapt priorities, learn from previous actions, and execute without human intervention.

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Foundation Models

Transformers in AI

A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence.

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