All current Retrieval Augmented Generation Courses courses in 2024
68 Courses
Developing Applications with LangChain
Delve into the intricacies of developing applications that leverage large language models (LLMs) using LangChain. This innovative framework simplifies the orchestration of complex components such as prompts, models, vector databases, APIs, and agents, by employing a unified syntax.
This skill track equips you with the ability to build the pr.
Mastering Generative AI: Agents with RAG and LangChain
The demand for technical Gen AI skills is on the rise. AI engineers proficient in large language models (LLMs) and frameworks like RAG and LangChain are in high demand. This course, Mastering Generative AI: Agents with RAG and LangChain, equips you with the job-ready skills to attract employers.
You'll delve into retrieval-augmented generation (.
Applied Generative AI & NLP with Python
Dive into the transformative world of Natural Language Processing with this course designed to arm you with modern skills and tools. Cover foundational concepts like word embeddings, sentiment analysis, and transformers, and move on to advanced applications using Huggingface. Master text summarization, translation, model fine-tuning, and exp.
Mastering Generative AI Project: RAG and LangChain App
Mastering Generative AI Project: RAG and LangChain App
Are you eager to apply your generative AI engineering skills in a practical setting? This immersive project invites you to develop a real-world generative AI application, providing substantial material to discuss in interviews.
Throughout the course, you'll expand your knowledge of L.
Leveraging Llama2 for Advanced AI Solutions
Gain the skills and knowledge to harness the power of large language models with our comprehensive course on Llama2. Explore the intricacies of LLM architectures, fine-tuning techniques, and retrieval-augmented generation (RAG). Dive into practical experience with leading tools like Ollama, LangChain, Streamlit, and Hugging Face.
This course.
Developing Generative Artificial Intelligence Solutions (繁體中文)
在本課程中，您將會探索生成式人工智慧 (生成式 AI) 應用程式生命週期，其中包括以下內容：
定義商業使用案例
選取基礎模型 (FM)
改善 FM 的效能
評估 FM 的效能
部署及其對業務目標的影響
本課程是生成式 AI 課程的入門，其中深入探討使用提示詞工程、檢索增強生成 (RAG) 和微調來自訂 FM 的相關概念。
課程等級：基礎
課程時長：1 小時
注意：本課.
Developing Generative Artificial Intelligence Solutions (日本語)
Developing Generative Artificial Intelligence Solutions (日本語)
このコースでは、生成人工知能 (生成 AI) によるアプリケーションライフサイクルについて学びます。詳細は以下のとおりです。
ビジネスユースケースの定義
基盤モデル (FM) の選択
FM のパフォーマンスの改善
FM のパフォーマンスの評価
デプロイとビジネス目標への影響
このコースは生成 A.
Developing Generative Artificial Intelligence Solutions (Bahasa Indonesia)
Dalam kursus ini, Anda akan menjelajahi siklus hidup aplikasi kecerdasan buatan generatif (AI generatif), yang meliputi:
Mendefinisikan kasus penggunaan bisnis
Memilih model fondasi (FM)
Meningkatkan kinerja FM
Mengevaluasi kinerja FM
Penggunaan dan dampaknya terhadap tujuan bisnis
Kursus ini adalah pengantar untuk AI generatif, mendalami ko.
Developing Generative Artificial Intelligence Solutions (Tiếng Việt)
Phát Triển Giải Pháp Trí Tuệ Nhân Tạo Tạo Sinh (Tiếng Việt) - AWS Skill Builder
Trong khóa học này, bạn sẽ khám phá vòng đời của ứng dụng trí tuệ nhân tạo tạo sinh (AI tạo sinh), bao gồm:
Xác định trường hợp sử dụng trong kinh doanh
Chọn mô hình nền tảng (FM)
Cải thiện hiệu suất của FM
Đánh giá hiệu suất của FM
Triển khai và tác động.
