AI, DeepTech & Emerging Tech

An AI system that can plan, take actions, and use tools.

Systems that perform tasks requiring human-like intelligence.

Distributed ledger technology enabling decentralized records and transactions.

AI for understanding images and video.

Maximum tokens a model can consider at once.

Startups based on significant scientific/engineering advances.

Processing data near where it’s generated instead of in a central cloud.

Numeric representations of text/images used for similarity search.

Training an existing model further on specific data.

Anchoring AI outputs to verified sources or data.

AI generating plausible but incorrect information.

Running a trained model to get outputs.

Internet of Things: connected physical devices that collect/share data.

Large Language Model trained on vast text to generate and understand language.

Models that learn patterns from data to make predictions.

Multiple AI agents collaborating on tasks.

Optical Character Recognition extracting text from images.

Coordinating AI steps, tools, and workflows.

Input instructions provided to an AI model.

Designing prompts to get reliable outputs from AI.

Research and development to create new technology.

Retrieval-Augmented Generation: combines search with LLM generation.

Code on a blockchain that executes rules automatically.

Units of text processed by language models.

Database optimized for storing and searching embeddings.