--- title: "Video-LLaMA vs ai-engineering-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/damo-nlp-sg-video-llama-vs-rohitg00-ai-engineering-from-scratch" tools: ["damo-nlp-sg-video-llama", "rohitg00-ai-engineering-from-scratch"] --- # Video-LLaMA vs ai-engineering-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick Video-LLaMA if video-LLaMA is an audio-visual language model that enhances video and audio understanding capabilities for language models; pick ai-engineering-from-scratch if ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and. [Video-LLaMA](https://github.com/DAMO-NLP-SG/Video-LLaMA) reports 3.1k GitHub stars, 287 forks, and 69 open issues, last pushed Jun 4, 2024. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 55k stars, 9.6k forks, and 114 open issues, last pushed Sep 7, 2026. Figures are from public GitHub metadata via [Video-LLaMA's repository](https://github.com/DAMO-NLP-SG/Video-LLaMA) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch). | | [Video-LLaMA](/tools/damo-nlp-sg-video-llama.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Tagline | Instruction-tuned Audio-Visual Language Model for Video Understanding | Learn, build, and deploy AI engineering skills from scratch. | | Stars | 3,141 | 54,935 | | Forks | 287 | 9,649 | | Open issues | 69 | 114 | | Language | Python | Python | | Adopt for | Video-LLaMA is an audio-visual language model that enhances video and audio understanding capabilities for language models. | ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | MIT | | Categories | Computer Vision, Model Training | AI Agents, Computer Vision, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Video-LLaMA](/tools/damo-nlp-sg-video-llama.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 804d | 10d | | Open issues (now) | 69 | 114 | | Stars delta | +2 (30d) | +8.1k (30d) | | Open issues delta | -1 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/damo-nlp-sg-video-llama/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | ## Decision facts: Video-LLaMA - **Requirements:** Ensure access to compatible hardware for video and audio processing tasks.; Consider the availability of Chinese text representation as a potential advantage or limitation based on your project needs. - **Adopt for:** Video-LLaMA is an audio-visual language model that enhances video and audio understanding capabilities for language models. - **License detail:** BSD-3-Clause ## Decision facts: ai-engineering-from-scratch - **Adopt for:** ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and ## Choose when ### Choose Video-LLaMA if… - License: Video-LLaMA is BSD-3-Clause, ai-engineering-from-scratch is MIT. - Requirements: Ensure access to compatible hardware for video and audio processing tasks.; Consider the availability of Chinese text representation as a potential advantage or limitation based on your project needs.. - Tags unique to Video-LLaMA: blip2, cross-modal-pretraining, large-language-models, llama. - When you need to process video content with instruction-tuned multimodal capabilities, especially when working with videos that require both visual and auditory analysis. ### Choose ai-engineering-from-scratch if… - License: ai-engineering-from-scratch is MIT, Video-LLaMA is BSD-3-Clause. - Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning. - Also covers AI Agents, Developer Tools. - when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning. ## When NOT to use Video-LLaMA - Do not use when the primary focus is on languages other than English and Chinese, as the model's representation capabilities outside these languages might be limited. - Avoid using Video-LLaMA if you require real-time audio processing in a deployment environment that does not support Vicuna-7B audio branch currently running on A10-24G GPUs. ## When NOT to use ai-engineering-from-scratch - if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning. - when you do not have access to Node.js or Python, as these are required for running the course and its interactive components. - if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions. - when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments. ## Common questions ### What is the difference between Video-LLaMA and ai-engineering-from-scratch? Video-LLaMA: Instruction-tuned Audio-Visual Language Model for Video Understanding. ai-engineering-from-scratch: Learn, build, and deploy AI engineering skills from scratch.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Video-LLaMA over ai-engineering-from-scratch? Choose Video-LLaMA over ai-engineering-from-scratch when License: Video-LLaMA is BSD-3-Clause, ai-engineering-from-scratch is MIT; Requirements: Ensure access to compatible hardware for video and audio processing tasks.; Consider the availability of Chinese text representation as a potential advantage or limitation based on your project needs.; Tags unique to Video-LLaMA: blip2, cross-modal-pretraining, large-language-models, llama; When you need to process video content with instruction-tuned multimodal capabilities, especially when working with videos that require both visual and auditory analysis. ### When should I choose ai-engineering-from-scratch over Video-LLaMA? Choose ai-engineering-from-scratch over Video-LLaMA when License: ai-engineering-from-scratch is MIT, Video-LLaMA is BSD-3-Clause; Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning; Also covers AI Agents, Developer Tools; when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning. ### When should I avoid Video-LLaMA? Do not use when the primary focus is on languages other than English and Chinese, as the model's representation capabilities outside these languages might be limited. Avoid using Video-LLaMA if you require real-time audio processing in a deployment environment that does not support Vicuna-7B audio branch currently running on A10-24G GPUs. ### When should I avoid ai-engineering-from-scratch? if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning. when you do not have access to Node.js or Python, as these are required for running the course and its interactive components. if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions. when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments. ### Is Video-LLaMA or ai-engineering-from-scratch more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (54,935 vs 3,141). Stars measure visibility, not whether either tool fits your constraints. ### Are Video-LLaMA and ai-engineering-from-scratch open source? Yes - both are open-source projects on GitHub (Video-LLaMA: BSD-3-Clause, ai-engineering-from-scratch: MIT). ### Where can I find alternatives to Video-LLaMA or ai-engineering-from-scratch? GraphCanon lists graph-backed alternatives at [Video-LLaMA alternatives](/tools/damo-nlp-sg-video-llama/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([Video-LLaMA markdown twin](/tools/damo-nlp-sg-video-llama/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/damo-nlp-sg-video-llama-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Video-LLaMA or ai-engineering-from-scratch? Video-LLaMA: Dormant. ai-engineering-from-scratch: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Video-LLaMA and ai-engineering-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Video-LLaMA trust report](/tools/damo-nlp-sg-video-llama/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=damo-nlp-sg-video-llama`](/api/graphcanon/graph?tool=damo-nlp-sg-video-llama) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_