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Old Zhang's AI Learning
Old Zhang's AI Learning
May 19, 2026 · Artificial Intelligence

ByteDance’s Agent Plan Enhances Hermes Agent and Claude Code with Models, Seedance Skills, and Web Search

The article examines Volcano Engine’s new Agent Plan, detailing how its bundled flagship models, Seedance image and video generation skills, web‑search and memory capabilities streamline tasks such as browser‑plugin replication, data‑analysis report creation, full‑stack web dashboards, PDF translation, PPT generation, and Three.js visualizations within Claude Code and Hermes Agent, while comparing it to the earlier Coding Plan model.

AI agentsAgent PlanByteDance
0 likes · 8 min read
ByteDance’s Agent Plan Enhances Hermes Agent and Claude Code with Models, Seedance Skills, and Web Search
Code Wrench
Code Wrench
Dec 8, 2025 · Artificial Intelligence

How Go AI Agents Think: Inside the Reasoning Loop and Tool Integration

This tutorial walks through the core architecture of a Golang AI Agent, detailing the ReAct reasoning loop, tool‑calling mechanism, web‑search implementation, metadata handling, and the complete closed‑loop workflow that turns a simple chatbot into a local AutoGPT‑style assistant.

AI AgentGoReact
0 likes · 9 min read
How Go AI Agents Think: Inside the Reasoning Loop and Tool Integration
AI Algorithm Path
AI Algorithm Path
Jun 4, 2025 · Artificial Intelligence

Why LLMs Hallucinate and How to Mitigate the Problem

The article explains that hallucinations in large language models stem mainly from the supervised fine‑tuning stage, illustrates the issue with concrete examples, and presents mitigation techniques such as knowledge‑probing data generation and web‑search tool integration using special tokens.

LLMMetaOpenAssistant
0 likes · 12 min read
Why LLMs Hallucinate and How to Mitigate the Problem
Code Mala Tang
Code Mala Tang
Mar 1, 2025 · Artificial Intelligence

Why Do Large Language Models Hallucinate and How Can We Fix It?

This article explains why large language models produce plausible‑looking but false information, traces the problem to the supervised fine‑tuning stage, and outlines mitigation techniques such as knowledge interrogation, RLHF, and tool‑augmented search to reduce hallucinations.

LLMRLHFTraining
0 likes · 12 min read
Why Do Large Language Models Hallucinate and How Can We Fix It?
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Feb 14, 2025 · Artificial Intelligence

Deploy a DeepSeek AI App with Web Search & Private Knowledge Base in 30 Minutes

This guide walks you through deploying DeepSeek models on Alibaba Cloud PAI, integrating SerpAPI for live web search, building a private knowledge base, and assembling a RAG-enabled chatbot workflow, all within 30 minutes, enabling enterprises to create intelligent applications that combine large‑model capabilities with up‑to‑date information.

AI ApplicationAlibaba CloudDeepSeek
0 likes · 7 min read
Deploy a DeepSeek AI App with Web Search & Private Knowledge Base in 30 Minutes
Java Architecture Diary
Java Architecture Diary
Feb 10, 2025 · Artificial Intelligence

deepseek4j 1.3: Java SDK adds web search, streaming & multi‑channel AI

deepseek4j 1.3 introduces web‑search capability, streaming responses, system prompts, expanded multi‑platform support, enhanced SSE debugging, and upcoming features like API‑key rotation and resilience, enabling Java developers to integrate DeepSeek models effortlessly while focusing on business logic.

AIDeepSeekSDK
0 likes · 8 min read
deepseek4j 1.3: Java SDK adds web search, streaming & multi‑channel AI
DataFunSummit
DataFunSummit
Feb 23, 2024 · Artificial Intelligence

Tool Learning with Foundation Models: Frameworks, Datasets, and Open‑Source Toolkits

Tool learning enables foundation models to follow human instructions and use external tools, and this article reviews Tsinghua’s research, introduces the WebCPM interactive web‑search QA framework, BMTools and ToolBench packages, and discusses background, frameworks, applications, and future challenges in AI tool usage.

AIFrameworkWeb Search
0 likes · 21 min read
Tool Learning with Foundation Models: Frameworks, Datasets, and Open‑Source Toolkits
DataFunTalk
DataFunTalk
Dec 25, 2023 · Artificial Intelligence

Tool Learning with Foundation Models: Frameworks, Datasets, and Open‑Source Toolkits

This article reviews the emerging field of tool learning for large foundation models, outlining its background, categorization, core framework components, training strategies, and applications such as WebCPM, BMTools, and ToolBench, while highlighting recent research results and open‑source resources.

AI toolsWeb Searchfoundation-models
0 likes · 21 min read
Tool Learning with Foundation Models: Frameworks, Datasets, and Open‑Source Toolkits