Muhammad Umair's picture

Muhammad Umair

umair894

·

AI & ML interests

AI Consultant | Engineer | Global Trainer |PhD Scholar |6+ Years of Experience: Specializing in building AI-powered SaaS solutions and delivering innovative AI, generative AI, and multimodal automation use cases. I've successfully led and contributed to dozens of projects, creating impactful proofs of concept (PoCs) that drive business value. With expertise in large language models (LLMs), computer vision, NLP, automation, and AI system design, I help companies unlock the power of AI to transform ideas into actionable solutions. As a global AI trainer, I empower organizations and individuals with the tools and knowledge to harness AI’s potential. Let’s build the future of AI together!

Recent Activity

reacted to Kseniase's post with 👍 about 4 hours ago

8 Free Sources about AI Agents: Agents seem to be everywhere and this collection is for a deep dive into the theory and practice: 1. "Agents" Google's whitepaper by Julia Wiesinger, Patrick Marlow and Vladimir Vuskovic -> https://www.kaggle.com/whitepaper-agents Covers agents, their functions, tool use and how they differ from models 2. "Agents in the Long Game of AI. Computational Cognitive Modeling for Trustworthy, Hybrid AI" book by Marjorie McShane, Sergei Nirenburg, and Jesse English -> https://direct.mit.edu/books/oa-monograph/5833/Agents-in-the-Long-Game-of-AIComputational Explores building AI agents, using Hybrid AI, that combines ML with knowledge-based reasoning 3. "AI Engineer Summit 2025: Agent Engineering" 8-hour video -> https://www.youtube.com/watch?v=D7BzTxVVMuw Experts' talks that share insights on the freshest Agent Engineering advancements, such as Google Deep Research, scaling tips and more 4. AI Agents Course from Hugging Face -> https://huggingface.co/learn/agents-course/en/unit0/introduction Agents' theory and practice to learn how to build them using top libraries and tools 5. "Artificial Intelligence: Foundations of Computational Agents", 3rd Edition, book by David L. Poole and Alan K. Mackworth -> https://artint.info/3e/html/ArtInt3e.html Agents' architectures, how they learn, reason, plan and act with certainty and uncertainty 6. "Intelligent Agents: Theory and Practice" book by Michael Wooldridge -> https://www.cs.ox.ac.uk/people/michael.wooldridge/pubs/ker95/ker95-html.html A fascinating option to dive into how agents were seen in 1995 and explore their theory, architectures and agent languages 7. The Turing Post articles "AI Agents and Agentic Workflows" on Hugging Face -> https://huggingface.co/Kseniase We explore agentic workflows in detail and agents' building blocks, such as memory and knowledge 8. Our collection "8 Free Sources to Master Building AI Agents" -> https://www.turingpost.com/p/building-ai-agents-sources

published a Space 2 days ago

umair894/resume-roaster-demo

updated a Space 2 days ago

umair894/resume-roaster-demo

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umair894's activity

upvoted 5 papers 3 days ago

HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

Paper • 2502.09838 • Published 10 days ago • 9

OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning

Paper • 2502.11271 • Published 7 days ago • 12

Magma: A Foundation Model for Multimodal AI Agents

Paper • 2502.13130 • Published 5 days ago • 41

Phantom: Subject-consistent video generation via cross-modal alignment

Paper • 2502.11079 • Published 7 days ago • 49

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models

Paper • 2502.13533 • Published 4 days ago • 6

upvoted 6 papers about 2 months ago

A theory of appropriateness with applications to generative artificial intelligence

Paper • 2412.19010 • Published Dec 26, 2024 • 1

VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Paper • 2501.00599 • Published Dec 31, 2024 • 41

LTX-Video: Realtime Video Latent Diffusion

Paper • 2501.00103 • Published Dec 30, 2024 • 42

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 99

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Paper • 2412.18619 • Published Dec 16, 2024 • 55

1.58-bit FLUX

Paper • 2412.18653 • Published Dec 24, 2024 • 78

upvoted a paper 2 months ago

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

Paper • 2412.09596 • Published Dec 12, 2024 • 94

upvoted 2 papers 3 months ago

VisionZip: Longer is Better but Not Necessary in Vision Language Models

Paper • 2412.04467 • Published Dec 5, 2024 • 107

Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion

Paper • 2412.04424 • Published Dec 5, 2024 • 60

upvoted a paper 6 months ago

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52

upvoted a collection 9 months ago

Qwen2

Qwen2 language models, including pretrained and instruction-tuned models of 5 sizes, including 0.5B, 1.5B, 7B, 57B-A14B, and 72B. • 39 items • Updated Nov 28, 2024 • 357

upvoted a paper 9 months ago

VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16, 2024 • 18

upvoted 3 collections 10 months ago

LLaVA++ (LLaMA-3 and Phi-3-Mini)

Extending Visual Capabilities of LLaVA with LLaMA-3 and Phi-3 • 11 items • Updated Jun 11, 2024 • 23

ZeroGPU Spaces

ZeroGPU Spaces made by the community • 17 items • Updated Jun 6, 2024 • 235

Phi-3

Phi-3 family of small language and multi-modal models. Language models are available in short- and long-context lengths. • 26 items • Updated Jan 8 • 559