From d9598f2fe2c83a7352e9b8275093a00cd64788c5 Mon Sep 17 00:00:00 2001 From: kamranahmedse <4921183+kamranahmedse@users.noreply.github.com> Date: Wed, 4 Mar 2026 15:31:01 +0000 Subject: [PATCH] chore: sync content to repo --- .../content/ai-safety-and-ethics@8ndKHDJgL_gYwaXC7XMer.md | 1 + .../content/anthropic-claude@hy6EyKiNxk1x84J63dhez.md | 2 +- .../content/hugging-face@v99C5Bml2a6148LCJ9gy9.md | 2 +- .../ai-engineer/content/meta-llama@OkYO-aSPiuVYuLXHswBCn.md | 4 ++-- .../model-context-protocol-mcp@AeHkNU-uJ_gBdo5-xdpEu.md | 3 +-- .../content/multi-agents@kG1bkF2oY21CJOm9zhdpn.md | 3 ++- .../content/nanobanana-api@6y73FLjshnqxV8BTGUeiu.md | 3 ++- .../content/openai-agentkit@Sm0Ne5Nx72hcZCdAcC0C2.md | 2 +- .../content/role--behavior@N3TzWYxU0jgv1l99Ts58n.md | 2 +- .../content/type-of-models@2X0NDcq2ojBJ0RxY_U6bl.md | 6 +++++- .../content/what-are-rags@lVhWhZGR558O-ljHobxIi.md | 1 + 11 files changed, 18 insertions(+), 11 deletions(-) diff --git a/src/data/roadmaps/ai-engineer/content/ai-safety-and-ethics@8ndKHDJgL_gYwaXC7XMer.md b/src/data/roadmaps/ai-engineer/content/ai-safety-and-ethics@8ndKHDJgL_gYwaXC7XMer.md index e3c6beb18..8105082d6 100644 --- a/src/data/roadmaps/ai-engineer/content/ai-safety-and-ethics@8ndKHDJgL_gYwaXC7XMer.md +++ b/src/data/roadmaps/ai-engineer/content/ai-safety-and-ethics@8ndKHDJgL_gYwaXC7XMer.md @@ -5,4 +5,5 @@ AI safety and ethics involve establishing guidelines and best practices to ensur Visit the following resources to learn more: - [@article@Understanding Artificial Intelligence Ethics and Safety](https://www.turing.ac.uk/news/publications/understanding-artificial-intelligence-ethics-and-safety) +- [@article@The Hidden Security Risks of LLMs](https://towardsdatascience.com/the-hidden-security-risks-of-llms/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration) - [@video@What is AI Ethics?](https://www.youtube.com/watch?v=aGwYtUzMQUk) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/anthropic-claude@hy6EyKiNxk1x84J63dhez.md b/src/data/roadmaps/ai-engineer/content/anthropic-claude@hy6EyKiNxk1x84J63dhez.md index 8d9c6327d..be5e8596d 100644 --- a/src/data/roadmaps/ai-engineer/content/anthropic-claude@hy6EyKiNxk1x84J63dhez.md +++ b/src/data/roadmaps/ai-engineer/content/anthropic-claude@hy6EyKiNxk1x84J63dhez.md @@ -4,7 +4,7 @@ Anthropic's Claude is an AI language model designed to facilitate safe and scala Visit the following resources to learn more: -- [@official@Claude](https://claude.ai) - [@course@Claude 101](https://anthropic.skilljar.com/claude-101) +- [@official@Claude](https://claude.ai) - [@video@How To Use Claude Pro For Beginners](https://www.youtube.com/watch?v=J3X_JWQkvo8) - [@video@Claude FULL COURSE 1 HOUR (Build & Automate Anything)](https://www.youtube.com/watch?v=KrKhfm2Xuho) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/hugging-face@v99C5Bml2a6148LCJ9gy9.md b/src/data/roadmaps/ai-engineer/content/hugging-face@v99C5Bml2a6148LCJ9gy9.md index 7a8f184ed..7781bd257 100644 --- a/src/data/roadmaps/ai-engineer/content/hugging-face@v99C5Bml2a6148LCJ9gy9.md +++ b/src/data/roadmaps/ai-engineer/content/hugging-face@v99C5Bml2a6148LCJ9gy9.md @@ -4,6 +4,6 @@ Hugging Face is a leading AI company and open-source platform that provides tool Visit the following resources to learn more: -- [@official@Hugging Face](https://huggingface.co) - [@course@Hugging Face Official Video Course](https://www.youtube.com/watch?v=00GKzGyWFEs&list=PLo2EIpI_JMQvWfQndUesu0nPBAtZ9gP1o) +- [@official@Hugging Face](https://huggingface.co) - [@video@What is Hugging Face? - Machine Learning Hub Explained](https://www.youtube.com/watch?v=1AUjKfpRZVo) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/meta-llama@OkYO-aSPiuVYuLXHswBCn.md b/src/data/roadmaps/ai-engineer/content/meta-llama@OkYO-aSPiuVYuLXHswBCn.md index e425cba29..ee37ff96a 100644 --- a/src/data/roadmaps/ai-engineer/content/meta-llama@OkYO-aSPiuVYuLXHswBCn.md +++ b/src/data/roadmaps/ai-engineer/content/meta-llama@OkYO-aSPiuVYuLXHswBCn.md @@ -4,5 +4,5 @@ Meta Llama is a family of large language models (LLMs) developed by Meta AI. The Visit the following resources to learn more: -- [@official@Llama](https://www.llama.com/) -- [@course@Building with Llama 4](https://www.deeplearning.ai/short-courses/building-with-llama-4/) \ No newline at end of file +- [@course@Building with Llama 4](https://www.deeplearning.ai/short-courses/building-with-llama-4/) +- [@official@Llama](https://www.llama.com/) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/model-context-protocol-mcp@AeHkNU-uJ_gBdo5-xdpEu.md b/src/data/roadmaps/ai-engineer/content/model-context-protocol-mcp@AeHkNU-uJ_gBdo5-xdpEu.md index 234104eb7..d148cebc7 100644 --- a/src/data/roadmaps/ai-engineer/content/model-context-protocol-mcp@AeHkNU-uJ_gBdo5-xdpEu.md +++ b/src/data/roadmaps/ai-engineer/content/model-context-protocol-mcp@AeHkNU-uJ_gBdo5-xdpEu.md @@ -7,5 +7,4 @@ Visit the following resources to learn more: - [@course@Model Context Protocol (MCP) Course](https://huggingface.co/learn/mcp-course/en/unit0/introduction) - [@official@Model Context Protocol](https://modelcontextprotocol.io/) - [@opensource@Model Context Protocol](https://github.com/modelcontextprotocol) -- [@article@Model Context Protocol (MCP): A Guide With Demo Project](https://www.datacamp.com/tutorial/mcp-model-context-protocol) -- [@video@What is MCP? Integrate AI Agents with Databases & APIs](https://www.youtube.com/watch?v=eur8dUO9mvE) \ No newline at end of file +- [@article@Discover more aritlces on MCP](https://towardsdatascience.com/tag/mcp/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/multi-agents@kG1bkF2oY21CJOm9zhdpn.md b/src/data/roadmaps/ai-engineer/content/multi-agents@kG1bkF2oY21CJOm9zhdpn.md index 043109ad3..3d6371a4f 100644 --- a/src/data/roadmaps/ai-engineer/content/multi-agents@kG1bkF2oY21CJOm9zhdpn.md +++ b/src/data/roadmaps/ai-engineer/content/multi-agents@kG1bkF2oY21CJOm9zhdpn.md @@ -6,4 +6,5 @@ Visit the following resources to learn more: - [@article@What is a multi-agent system?](https://www.ibm.com/think/topics/multiagent-system) - [@article@Multi-Agent Systems](https://huggingface.co/learn/agents-course/en/unit2/smolagents/multi_agent_systems) -- [@article@Guide to multi-agent systems (MAS)](https://cloud.google.com/discover/what-is-a-multi-agent-system) \ No newline at end of file +- [@article@Guide to multi-agent systems (MAS)](https://cloud.google.com/discover/what-is-a-multi-agent-system) +- [@article@Agentic AI 103: Building Multi-Agent Teams](https://towardsdatascience.com/agentic-ai-103-building-multi-agent-teams/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/nanobanana-api@6y73FLjshnqxV8BTGUeiu.md b/src/data/roadmaps/ai-engineer/content/nanobanana-api@6y73FLjshnqxV8BTGUeiu.md index 3c467498f..26ca527e1 100644 --- a/src/data/roadmaps/ai-engineer/content/nanobanana-api@6y73FLjshnqxV8BTGUeiu.md +++ b/src/data/roadmaps/ai-engineer/content/nanobanana-api@6y73FLjshnqxV8BTGUeiu.md @@ -4,4 +4,5 @@ The NanoBanana API is a tool designed to facilitate the integration and processi Visit the following resources to learn more: -- [@official@NanoBanana API](https://nanobananaapi.ai/) \ No newline at end of file +- [@official@NanoBanana API](https://nanobananaapi.ai/) +- [@article@Generating Consistent Imagery with Gemini](https://towardsdatascience.com/generating-consistent-imagery-with-gemini/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/openai-agentkit@Sm0Ne5Nx72hcZCdAcC0C2.md b/src/data/roadmaps/ai-engineer/content/openai-agentkit@Sm0Ne5Nx72hcZCdAcC0C2.md index f65e055e4..161531778 100644 --- a/src/data/roadmaps/ai-engineer/content/openai-agentkit@Sm0Ne5Nx72hcZCdAcC0C2.md +++ b/src/data/roadmaps/ai-engineer/content/openai-agentkit@Sm0Ne5Nx72hcZCdAcC0C2.md @@ -6,4 +6,4 @@ Visit the following resources to learn more: - [@official@Introducing AgentKit](https://openai.com/index/introducing-agentkit/) - [@official@Build every step of agents on one platform](https://openai.com/agent-platform/) -- [@video@Build Hour: AgentKit](https://www.youtube.com/watch?v=sAitLFLbgDA) \ No newline at end of file +- [@video@OpenAI Agents SDK Tutorial (FULL SERIES)](https://www.youtube.com/watch?v=gFcAfU3V1Zo) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/role--behavior@N3TzWYxU0jgv1l99Ts58n.md b/src/data/roadmaps/ai-engineer/content/role--behavior@N3TzWYxU0jgv1l99Ts58n.md index 1e02c5742..e8d13526f 100644 --- a/src/data/roadmaps/ai-engineer/content/role--behavior@N3TzWYxU0jgv1l99Ts58n.md +++ b/src/data/roadmaps/ai-engineer/content/role--behavior@N3TzWYxU0jgv1l99Ts58n.md @@ -1,4 +1,4 @@ -# Role & Behavior +# Role & Behavior System prompting involves crafting instructions that define the AI model's role, personality, and overall behavior when interacting with users. This allows you to shape the AI's responses, ensuring they are consistent with desired guidelines, such as adopting a specific persona (e.g., a helpful assistant, an expert) or adhering to constraints on tone and style. By carefully defining these aspects, you can significantly influence the AI's output and guide it towards more relevant and effective interactions. diff --git a/src/data/roadmaps/ai-engineer/content/type-of-models@2X0NDcq2ojBJ0RxY_U6bl.md b/src/data/roadmaps/ai-engineer/content/type-of-models@2X0NDcq2ojBJ0RxY_U6bl.md index e6f13fc4b..9080aa8d0 100644 --- a/src/data/roadmaps/ai-engineer/content/type-of-models@2X0NDcq2ojBJ0RxY_U6bl.md +++ b/src/data/roadmaps/ai-engineer/content/type-of-models@2X0NDcq2ojBJ0RxY_U6bl.md @@ -1,3 +1,7 @@ # Types of AI Models -AI models come in various forms. Open models provide transparent access to their architecture and training data, fostering collaboration and customization, while closed models keep these details proprietary. Pre-trained models are trained on massive datasets and can be fine-tuned for specific tasks, saving time and resources. Self-hosted models, on the other hand, offer greater control and privacy as they are deployed and managed on your own infrastructure. \ No newline at end of file +AI models come in various forms. Open models provide transparent access to their architecture and training data, fostering collaboration and customization, while closed models keep these details proprietary. Pre-trained models are trained on massive datasets and can be fine-tuned for specific tasks, saving time and resources. Self-hosted models, on the other hand, offer greater control and privacy as they are deployed and managed on your own infrastructure. + +Visit the following resources to learn more: + +- [@article@Recap of all types of LLM Agents](http://towardsdatascience.com/recap-of-all-types-of-llm-agents/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/what-are-rags@lVhWhZGR558O-ljHobxIi.md b/src/data/roadmaps/ai-engineer/content/what-are-rags@lVhWhZGR558O-ljHobxIi.md index dbfbd1c20..b1378b76b 100644 --- a/src/data/roadmaps/ai-engineer/content/what-are-rags@lVhWhZGR558O-ljHobxIi.md +++ b/src/data/roadmaps/ai-engineer/content/what-are-rags@lVhWhZGR558O-ljHobxIi.md @@ -5,4 +5,5 @@ Retrieval-Augmented Generation (RAG) combines information retrieval with languag Visit the following resources to learn more: - [@article@What is RAG?](https://aws.amazon.com/what-is/retrieval-augmented-generation/) +- [@article@RAG Explained: Understanding Embeddings, Similarity, and Retrieval](https://towardsdatascience.com/rag-explained-understanding-embeddings-similarity-and-retrieval/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration) - [@video@What is Retrieval-Augmented Generation? IBM](https://www.youtube.com/watch?v=T-D1OfcDW1M) \ No newline at end of file