All current Fine-Tuning Courses courses in 2024
38 Courses
Fine-tuning Language Models for Business Tasks
Fine-tuning Language Models for Business Tasks
This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses to stay competitive. The course covers foundationa.
RAG and Fine-Tuning Explained
RAG and Fine-Tuning Explained | LinkedIn Learning
Unlock the power of AI with our in-depth course on Retrieval Augmented Generation (RAG) and fine-tuning, offered by LinkedIn Learning. This course breaks down these advanced concepts to help you build robust enterprise applications. Perfect for those interested in artificial int.
ChatGPT and Large Language Models (LLMs): A Practical Guide
ChatGPT and Large Language Models (LLMs): A Practical Guide
Learn how ChatGPT actually works! This course will get you up to speed on how LLMs work under the hood including topics like Prompt Design, Fine-Tuning, and more.
Categories: Artificial Intelligence Courses, Machine Learning Courses, ChatGPT Courses, Fine-Tuning Courses
Generative AI Advance Fine-Tuning for LLMs
Generative AI Advance Fine-Tuning for LLMs
Fine-tuning a large language model (LLM) is crucial for aligning it with specific business needs, enhancing accuracy, and optimizing its performance. In turn, this gives businesses precise, actionable insights that drive efficiency and innovation.
This course gives aspiring gen AI engin.
Desarrollo de soluciones de IA generativa (Español LATAM) | Developing Generative Artificial Intelligence Solutions (LATAM Spanish)
Desarrollo de soluciones de IA generativa (Español LATAM) | Developing Generative Artificial Intelligence Solutions (LATAM Spanish)
En este curso, explorará el ciclo de vida de las aplicaciones de inteligencia artificial generativa (IA generativa), que incluye lo siguiente:
Definición de un caso práctico empresarial.
Optimización de modelos fundacionales (Español LATAM) | Optimizing Foundation Models (LATAM Spanish)
Optimización de modelos fundacionales (Español LATAM) | Optimizing Foundation Models (LATAM Spanish)
En este curso, explorará dos técnicas para mejorar el rendimiento de un modelo fundacional (Foundation Model, FM): la generación mejorada por recuperación (Retrieval Augmented Generation, RAG) y el ajuste preciso. Aprenderá sobre los servicios de A.
Developing Generative Artificial Intelligence Solutions (Traditional Chinese)
開發生成式人工智慧解決方案 (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.
Optimizing Foundation Models (Thai)
ในหลักสูตรนี้ คุณจะได้สำรวจเทคนิคในการปรับปรุงประสิทธิภาพของโมเดลพื้นฐาน (FM) สองประการ ได้แก่ Retrieval Augmented Generation (RAG) และการปรับละเอียด คุณจะได้เรียนรู้เกี่ยวกับบริการ Amazon Web Services (AWS) ที่ช่วยจัดเก็บการฝังข้อมูลด้วยฐานข้อมูลเวกเตอร์, บทบาทของเอเจนต์ในการทำงานหลายขั้นตอน, กำหนดวิธีการปรับแต่ง FM อย่างละเอียด, วิธีเตรียมข้อม.
Optimizing Foundation Models (Indonesian)
Optimizing Foundation Models (Indonesian)
Dalam kursus ini, Anda akan mengeksplorasi dua teknik untuk meningkatkan kinerja model fondasi (FM): Retrieval-Augmented Generation (RAG) dan penyempurnaan. Anda akan belajar mengenai layanan Amazon Web Services (AWS) yang membantu menyimpan penyematan dengan basis data vektor, peran agen dalam tugas den.
Gemini: Prompt Engineering Best Practices
Gemini: Prompt Engineering Best Practices
Following best practices in prompt engineering enables you to create effective prompts that enhance and maximize results obtained from Google Gemini. This course will teach you the best practices for crafting exceptional prompts with Google Gemini.
An LLM like Google Gemini can understand and process vas.
