BS in Data Science & Applications applies AI to data analysis, extraction, visualization, or business intelligence.
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Risks and mitigations for developing and deploying generative AI applications.
Practical principles for building controllable LLM applications around deterministic software.
Start building LLM-empowered multi-agent applications in an easier way.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
Data Processing & ETL infrastructure for Generative AI applications.
DataRobot delivers the industry- AI applications and platform that maximize impact and minimize risk for your business.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world.
Speech recognition toolkit with streaming ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving for voice AI applications.
A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Modular pipelines for retrieval and generative AI applications.
"building applications with LLMs through composability".
A framework for elegantly configuring complex applications.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.
An international journal devoted to applications of statistical methods at large.
Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
FastAPI framework to build production-grade LLM applications.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Introduction to machine learning covering basic theory, algorithms and applications.
Pretrain computer vision models on unlabeled data for industrial applications.
A comprehensive toolkit to build Machine Learning applications with Rust.