chore: sync content to repo (#10353)

Co-authored-by: nilbuild <4921183+nilbuild@users.noreply.github.com>
2026-09-24 15:00:31 +08:00 · 2026-09-17 10:18:48 +02:00
parent d90e9ea8a4
commit 253079f3b0
22 changed files with 8 additions and 32 deletions
@@ -7,5 +7,4 @@ Visit the following resources to learn more:
 - [@official@Open AI's GPT-4](https://openai.com/gpt-4)
 - [@official@Claude](https://www.anthropic.com/claude)
 - [@official@Gemini](https://deepmind.google/technologies/gemini/)
- [@article@Open-Source LLMs vs Closed LLMs](https://hatchworks.com/blog/gen-ai/open-source-vs-closed-llms-guide/)
- [@article@2024 Comparison of Open-Source Vs Closed-Source LLMs](https://blog.spheron.network/choosing-the-right-llm-2024-comparison-of-open-source-vs-closed-source-llms)
+- [@article@Open-Source LLMs vs Closed LLMs](https://hatchworks.com/blog/gen-ai/open-source-vs-closed-llms-guide/)
@@ -1,5 +1,5 @@
 # Context Windows
- 
+
 The context window is the maximum number of tokens a model can process in a single request, including both the input and the generated output. Anything beyond this limit gets truncated or causes an error, so long conversations or documents need to be managed carefully. A larger context window lets an agent keep more history, tool outputs, or retrieved documents in view at once.

 Visit the following resources to learn more:
@@ -5,5 +5,4 @@ A DAG (Directed Acyclic Graph) agent is made of small parts called nodes that fo
 Visit the following resources to learn more:

 - [@official@Airflow: Directed Acyclic Graphs Documentation](https://airflow.apache.org/docs/apache-airflow/stable/concepts/dags.html)
- [@article@What are DAGs in AI Systems?](https://www.restack.io/p/version-control-for-ai-answer-what-is-dag-in-ai-cat-ai)
 - [@video@DAGs Explained Simply](https://www.youtube.com/watch?v=1Yh5S-S6wsI)
@@ -6,5 +6,4 @@ Visit the following resources to learn more:

 - [@official@DeepEval - The Open-Source LLM Evaluation Framework](https://www.deepeval.com/)
 - [@opensource@DeepEval GitHub Repository](https://github.com/confident-ai/deepeval)
- [@article@Evaluate LLMs Effectively Using DeepEval: A Practical Guide](https://www.datacamp.com/tutorial/deepeval)
 - [@video@DeepEval - LLM Evaluation Framework](https://www.youtube.com/watch?v=ZNs2dCXHlfo)
@@ -4,7 +4,6 @@ File system access lets an AI agent read, create, change, or delete files and fo

 Visit the following resources to learn more:

- [@article@Filesystem MCP server for AI Agents](https://playbooks.com/mcp/mateicanavra-filesystem)
 - [@article@File System Access API](https://developer.mozilla.org/en-US/docs/Web/API/File_System_Access_API)
 - [@article@Understanding File Permissions and Security](https://linuxize.com/post/understanding-linux-file-permissions/)
 - [@video@How File Systems Work?](https://www.youtube.com/watch?v=KN8YgJnShPM)
@@ -4,5 +4,4 @@ Forgetting or aging strategies decide what stored information an agent should di

 Visit the following resources to learn more:

- [@article@Memory Management](https://python.langchain.com/docs/how_to/chatbots_memory/)
- [@article@Memory Management for AI Agents](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/memory-management-for-ai-agents/4406359)
+- [@article@Memory Management](https://python.langchain.com/docs/how_to/chatbots_memory/)
@@ -5,5 +5,4 @@ After you write a first prompt, treat it as a draft, not the final version. Run
 Visit the following resources to learn more:

 - [@course@Prompt Engineering Best Practices](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
- [@article@Master Iterative Prompting: A Guide](https://blogs.vreamer.space/master-iterative-prompting-a-guide-to-more-effective-interactions-with-ai-50a736eaec38)
 - [@video@Prompt Engineering: The Iterative Process](https://www.youtube.com/watch?v=dOxUroR57xs)
@@ -4,9 +4,7 @@ LlamaIndex is a framework focused on connecting language models to external data

 Visit the following resources to learn more:

- [@official@LlamaIndex](https://llamaindex.ai/)
 - [@official@LlamaIndex Documentation](https://docs.smith.langchain.com/)
- [@official@What is LlamaIndex.TS](https://ts.llamaindex.ai/docs/llamaindex)
 - [@opensource@run-llama/llama_index](https://github.com/run-llama/llama_index)
 - [@article@What is LlamaIndex? - IBM](https://www.ibm.com/think/topics/llamaindex)
 - [@article@LlamaIndex - Hugging Face](https://huggingface.co/llamaindex)
@@ -4,7 +4,6 @@ Long term memory in an AI agent stores important information for future use, lik

 Visit the following resources to learn more:

- [@article@Long Term Memory in AI Agents](https://medium.com/@alozie_igbokwe/ai-101-long-term-memory-in-ai-agents-35f87f2d0ce0)
 - [@article@Memory Management in AI Agents](https://python.langchain.com/docs/how_to/chatbots_memory/)
 - [@article@Storing and Retrieving Knowledge for Agents](https://www.pinecone.io/learn/langchain-retrieval-augmentation/)
 - [@article@Short-Term vs Long-Term Memory in AI Agents](https://adasci.org/short-term-vs-long-term-memory-in-ai-agents/)
@@ -6,5 +6,4 @@ Visit the following resources to learn more:

 - [@article@Utilising Max Token Context Window of Anthropic Claude](https://medium.com/@nampreetsingh/utilising-max-token-context-window-of-anthropic-claude-on-amazon-bedrock-7377d94b2dfa)
 - [@article@Controlling the Length of OpenAI Model Responses](https://help.openai.com/en/articles/5072518-controlling-the-length-of-openai-model-responses)
- [@article@Max Model Length in AI](https://www.restack.io/p/ai-model-answer-max-model-length-cat-ai)
 - [@video@Understanding ChatGPT/OpenAI Tokens](https://youtu.be/Mo3NV5n1yZk)
@@ -7,5 +7,4 @@ Visit the following resources to learn more:
 - [@course@MCP: Build Rich-Context AI Apps with Anthropic](https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/)
 - [@official@Model Context Protocol](https://modelcontextprotocol.io/introduction)
 - [@opensource@Model Context Protocol](https://github.com/modelcontextprotocol/modelcontextprotocol)
- [@article@Introducing the Azure MCP Server](https://devblogs.microsoft.com/azure-sdk/introducing-the-azure-mcp-server/)
 - [@article@The Ultimate Guide to MCP](https://guangzhengli.com/blog/en/model-context-protocol)
@@ -4,8 +4,6 @@ Open weight models are language models whose trained parameters are published fo

 Visit the following resources to learn more:

- [@official@BLOOM BigScience](https://bigscience.huggingface.co/)
 - [@official@Falcon LLM – Technology Innovation Institute (TII)](https://falconllm.tii.ae/)
- [@official@Llama 2 – Meta's Official Announcement](https://ai.meta.com/llama/)
 - [@official@Hugging Face – Open LLM Leaderboard (Top Open Models)](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
 - [@official@EleutherAI – Open Research Collective (GPT-Neo, GPT-J, etc.)](https://www.eleuther.ai/)
@@ -6,6 +6,4 @@ Visit the following resources to learn more:

 - [@official@OpenAI Documentation – Function Calling](https://platform.openai.com/docs/guides/function-calling)
 - [@official@OpenAI Cookbook – Using Functions with GPT Models](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_call_functions_with_chat_models.ipynb)
- [@article@@officialOpenAI Blog – Announcing Function Calling and Other Updates](https://openai.com/blog/function-calling-and-other-api-updates)
- [@article@@officialOpenAI API Reference – Functions Section](https://platform.openai.com/docs/api-reference/chat/create#functions)
- [@article@@officialOpenAI Community – Discussions and Examples on Function Calling](https://community.openai.com/tag/function-calling)
+- [@official@OpenAI API Reference – Functions Section](https://platform.openai.com/docs/api-reference/chat/create#functions)
@@ -7,5 +7,4 @@ Visit the following resources to learn more:
 - [@article@Memory Management in AI Agents](https://python.langchain.com/docs/how_to/chatbots_memory/)
 - [@article@Build Smarter AI Agents: Manage Short-term and Long-term Memory](https://redis.io/blog/build-smarter-ai-agents-manage-short-term-and-long-term-memory-with-redis/)
 - [@article@Storing and Retrieving Knowledge for Agents](https://www.pinecone.io/learn/langchain-retrieval-augmentation/)
- [@article@Short-Term vs Long-Term Memory in AI Agents](https://adasci.org/short-term-vs-long-term-memory-in-ai-agents/)
 - [@video@Building Brain-Like Memory for AI Agents](https://www.youtube.com/watch?v=VKPngyO0iKg)
@@ -5,5 +5,4 @@ Structured logging and tracing record an agent's execution in a consistent, mach
 Visit the following resources to learn more:

 - [@article@Understanding Structured Logging: A Comprehensive Guide](https://www.graphapp.ai/blog/understanding-structured-logging-a-comprehensive-guide)
- [@article@Structured Logging & Cloud Logging](https://cloud.google.com/logging/docs/structured-logging)
- [@article@Best Practices for Logging in AI Applications](https://www.restack.io/p/best-ai-practices-software-compliance-answer-logging-best-practices-cat-ai)
+- [@article@Structured Logging & Cloud Logging](https://cloud.google.com/logging/docs/structured-logging)
@@ -4,5 +4,4 @@ Summarization or compression reduces the size of stored or in context informatio

 Visit the following resources to learn more:

- [@article@Evaluating LLMs for Text Summarization](https://insights.sei.cmu.edu/blog/evaluating-llms-for-text-summarization-introduction/)
- [@article@The Ultimate Guide to AI Document Summarization](https://www.documentllm.com/blog/ai-document-summarization-guide)
+- [@article@Evaluating LLMs for Text Summarization](https://insights.sei.cmu.edu/blog/evaluating-llms-for-text-summarization-introduction/)
@@ -4,5 +4,4 @@ Tokenization is the process of breaking text into smaller units called tokens, w

 Visit the following resources to learn more:

- [@article@Explaining Tokens — the Language and Currency of AI](https://blogs.nvidia.com/blog/ai-tokens-explained/)
- [@article@What is Tokenization? Types, Use Cases, Implementation](https://www.datacamp.com/blog/what-is-tokenization)
+- [@article@Explaining Tokens — the Language and Currency of AI](https://blogs.nvidia.com/blog/ai-tokens-explained/)
@@ -4,6 +4,5 @@ Tool sandboxing keeps the AI agent inside a safe zone where it can only run appr

 Visit the following resources to learn more:

- [@article@AI Sandbox | Harvard University Information Technology](https://www.huit.harvard.edu/ai-sandbox)
 - [@article@How to Set Up AI Sandboxes to Maximize Adoption](https://medium.com/@emilholmegaard/how-to-set-up-ai-sandboxes-to-maximize-adoption-without-compromising-ethics-and-values-637c70626130)
 - [@article@Sandboxes for AI - The Datasphere Initiative](https://www.thedatasphere.org/datasphere-publish/sandboxes-for-ai/)
@@ -4,6 +4,5 @@ Unit testing checks that each tool an AI agent uses works as expected when it st

 Visit the following resources to learn more:

- [@article@Unit Testing Agents](https://docs.patronus.ai/docs/agent_evals/unit_testing)
 - [@article@Best AI Tools for Unit Testing: A Look at Top 14 AI Tools](https://thetrendchaser.com/best-ai-tools-for-unit-testing/)
 - [@article@AI for Unit Testing: Revolutionizing Developer Productivity](https://www.diffblue.com/resources/ai-for-unit-testing-revolutionizing-developer-productivity/)
@@ -4,7 +4,6 @@ Web scraping and crawling let an AI agent collect data from many web pages witho

 Visit the following resources to learn more:

- [@article@Crawl AI - Build Your AI With One Prompt](https://www.crawlai.org/)
 - [@article@AI-Powered Web Scraper with Crawl4AI and DeepSeek](https://brightdata.com/blog/web-data/crawl4ai-and-deepseek-web-scraping)
 - [@article@Best Web Scraping Tools for AI Applications](https://www.thetoolnerd.com/p/best-web-scraping-tools-for-ai-applications)
 - [@article@8 Best AI Web Scraping Tools I Tried - HubSpot Blog](https://blog.hubspot.com/website/ai-web-scraping)
@@ -7,5 +7,4 @@ Visit the following resources to learn more:
 - [@article@Agentic Memory for LLM Agents](https://arxiv.org/abs/2502.12110)
 - [@article@Memory Management in AI Agents](https://python.langchain.com/docs/how_to/chatbots_memory/)
 - [@article@Storing and Retrieving Knowledge for Agents](https://www.pinecone.io/learn/langchain-retrieval-augmentation/)
- [@article@Short-Term vs Long-Term Memory in AI Agents](https://adasci.org/short-term-vs-long-term-memory-in-ai-agents/)
 - [@video@Building Brain-Like Memory for AI Agents](https://www.youtube.com/watch?v=VKPngyO0iKg)
@@ -5,5 +5,4 @@ Prompt engineering is the skill of writing clear questions or instructions so th
 Visit the following resources to learn more:

 - [@roadmap@Visit Dedicated Prompt Engineering Roadmap](https://roadmap.sh/prompt-engineering)
- [@article@What is Prompt Engineering? - AI Prompt Engineering Explained - AWS](https://aws.amazon.com/what-is/prompt-engineering/)
- [@article@What is Prompt Engineering? A Detailed Guide For 2025](https://www.datacamp.com/blog/what-is-prompt-engineering-the-future-of-ai-communication)
+- [@article@What is Prompt Engineering? - AI Prompt Engineering Explained - AWS](https://aws.amazon.com/what-is/prompt-engineering/)