AI Development

Introduction to NLP: Implementing Speech Recognition and Synthesis with SoEasy

by
Introduction to NLP: Implementing Speech Recognition and Synthesis with SoEasy

Conversational AI is changing the way humans interact with machines, bringing great convenience to our lives and work. However, conversational AI encompasses various technical fields such as automatic speech recognition, natural language processing, and speech synthesis. Developing a conversational AI from scratch requires significant investment in terms of cost and processes. So, what methods can … Read more

Prompt Engineers: Concepts, Competencies, and Growth Paths

by
Prompt Engineers: Concepts, Competencies, and Growth Paths

Author Introduction: Fu Jie, Postdoctoral researcher and assistant researcher at the Institute of Education, Tsinghua University, and the International Engineering Education Center of UNESCO. Funding Project: Chinese Academy of Engineering consulting research project “Research on the System Construction and Strategic Countermeasures for the Independent Training of Young Engineering and Technology Talents” (2023-HY-09). Abstract: With the … Read more

Four Directions for the Future of Large Models

by
Four Directions for the Future of Large Models

Recently, Zhang Bo, an academician of the Chinese Academy of Sciences and honorary director of the Institute of Artificial Intelligence at Tsinghua University, stated in a speech at the ISC.AI 2024 12th Internet Security Conference that current artificial intelligence lacks a theory; it has only developed models and algorithms targeted at specific fields. Both the … Read more

Build AI Agents From Scratch: A Beginner’s Guide

by
Build AI Agents From Scratch: A Beginner's Guide

What Exactly Is an AI Agent?How Is It Different from ChatGPT? An AI agent, in English, is referred to as AI Agent, where “Agent” means proxy. AI Agent = AI Large Model (LLM) + Planning + Memory + Tools, which includes these components. Everyone should have heard of large models, so I won’t go into … Read more

Phidata vs Langchain: A Comparative Framework for Smart Agents

by

Follow us on WeChat: “Full Stack AI Knowledge” Set as a “Star”, bringing you new insights every day When building smart agents, Phidata and Langchain are undoubtedly the focal points in the industry. Both aim to enhance the performance of large language models (LLMs), but each has its unique focus and advantages. This article provides … Read more

Llama 3.3: Meta AI Releases New Text-Based Language Model

by
Llama 3.3: Meta AI Releases New Text-Based Language Model

🚀 Quick Read Model Parameters: Llama 3.3 has 70B parameters, comparable to the 405B parameters of Llama 3.1. Multilingual Support: Supports input and output in 8 languages including English, German, French, etc. Application Scenarios: Suitable for chatbots, customer service automation, language translation, and various other scenarios. Main Content What is Llama 3.3 WeChat Official Account: … Read more

Building Ollama Cloud – Extending Local Inference to the Cloud

by
Building Ollama Cloud - Extending Local Inference to the Cloud

Are you still troubled by the mixed quality and poor performance of AI in China? Then let’s take a look at Dev Cat AI (3in1). This is an integrated AI assistant that combines GPT-4, Claude3, and Gemini. It covers all models of the three AI tools. Including GPT-4o and Gemini flash Now you can own … Read more