ข้ามไปยังเนื้อหาหลัก
หมวดหมู่
เทคโนโลยี

บทเรียน AI

อัปเดตเทคนิค เครื่องมือ และงานวิจัยล่าสุดด้านปัญญาประดิษฐ์ บทเรียน AI ของเราจะพาคุณทำความเข้าใจกับโมเดลการเรียนรู้ของเครื่องที่ท้าทาย
เทคโนโลยีอื่น ๆ:
Groupฝึกอบรมบุคคลตั้งแต่ 2 คนขึ้นไป?ลองใช้ DataCamp for Business

What Is One Hot Encoding and How to Implement It in Python

One-hot encoding is a technique used to convert categorical data into a binary format where each category is represented by a separate column with a 1 indicating its presence and 0s for all other categories.
Dr Ana Rojo-Echeburúa's photo

Dr Ana Rojo-Echeburúa

26 มิถุนายน 2567

Groq LPU Inference Engine Tutorial

Learn about the Groq API and its features with code examples. Additionally, learn how to build context-aware AI applications using the Groq API and LlamaIndex.
Abid Ali Awan's photo

Abid Ali Awan

21 มิถุนายน 2567

Codestral API Tutorial: Getting Started With Mistral’s API

To connect to the Codestral API, obtain your API key from Mistral AI and send authorized HTTP requests to the appropriate endpoint (either codestral.mistral.ai or api.mistral.ai).
Ryan Ong's photo

Ryan Ong

18 มิถุนายน 2567

Using a Knowledge Graph to Implement a RAG Application

Learn how to implement knowledge graphs for RAG applications by following this step-by-step tutorial to enhance AI responses with structured knowledge.
Dr Ana Rojo-Echeburúa's photo

Dr Ana Rojo-Echeburúa

11 มิถุนายน 2567

Prompt Compression: A Guide With Python Examples

Prompt compression is the process of reducing the length of an input prompt while retaining the essential information needed for a language model to understand and generate a relevant response.
Dimitri Didmanidze's photo

Dimitri Didmanidze

10 มิถุนายน 2567

Deploying LLM Applications with LangServe

Learn how to deploy LLM applications using LangServe. This comprehensive guide covers installation, integration, and best practices for efficient deployment.
Stanislav Karzhev's photo

Stanislav Karzhev

6 มิถุนายน 2567

Boost LLM Accuracy with Retrieval Augmented Generation (RAG) and Reranking

Discover the strengths of LLMs with effective information retrieval mechanisms. Implement a reranking approach and incorporate it into your own LLM pipeline.
Iván Palomares Carrascosa's photo

Iván Palomares Carrascosa

5 มิถุนายน 2567

Cohere API Tutorial: Getting Started With Cohere Models

Cohere offers powerful large language models for various language tasks through their user-friendly Playground or API.
Moez Ali's photo

Moez Ali

30 พฤษภาคม 2567

Fine-Tuning Llama 3 and Using It Locally: A Step-by-Step Guide

We'll fine-tune Llama 3 on a dataset of patient-doctor conversations, creating a model tailored for medical dialogue. After merging, converting, and quantizing the model, it will be ready for private local use via the Jan application.
Abid Ali Awan's photo

Abid Ali Awan

30 พฤษภาคม 2567

How to Run Llama 3 Locally With Ollama and GPT4ALL

Run LLaMA 3 locally with GPT4ALL and Ollama, and integrate it into VSCode. Then, build a Q&A retrieval system using Langchain and Chroma DB.
Abid Ali Awan's photo

Abid Ali Awan

21 มีนาคม 2568

Snowflake Arctic Tutorial: Getting Started With Snowflake's LLM

Snowflake Arctic is a family of enterprise-grade language models designed to simplify the integration and deployment of AI within the Snowflake Data Cloud.
Zoumana Keita 's photo

Zoumana Keita

27 พฤษภาคม 2567

Gemini 1.5 Pro API Tutorial: Getting Started With Google's LLM

To connect to the Gemini 1.5 Pro API, obtain your API key from Google AI for Developers, install the necessary Python libraries, and send requests and receive responses from the Gemini 1.5 Pro model.
Natasha Al-Khatib's photo

Natasha Al-Khatib

27 พฤษภาคม 2567