Simplified videos on AI, LLMs, Natural Language Processing (NLP) and data analytics 😎
youtube.com/@analyticsCamp/videos?sub_confirmation…

NLP girl (PhD) turned AI educator and developer, teaching:
-- AI agents: agentic systems and workflows πŸ€–
-- LLMs: How Large Language Models and neural networks work in Artificial Intelligence systems,
-- AI for business: AI automation and applications,
-- Generating passive income with programming and AI,
-- NLP: Using text processing machine learning methods to solve real-life problems,
-- Data science fun projects and ideas with Python and R,
And many more tips and tutorials

DM or email me for collab or sponsorship πŸ˜‰


Analytics Camp

I bet there are a lot of details you missed about context engineering and its implementation; I've put together all in one place in this video; let me know if you've an additional point to add to this πŸ‘‰ https://youtu.be/523PQmw6_3k

#AI #ContextEngineering #LLMs

2 days ago |[YT] | 3

Analytics Camp

Static model context protocols are evolving into self-improving systems that adapt based on execution feedback. Watching agents refine their own code loops without human intervention is a fascinating glimpse into autonomous workflows. For the new subs, I reviewed how these self-evolving setups operate in practice πŸ‘‰ https://youtu.be/SMehf7xT0vc

#AIAgents #ArtificialIntelligence #MCP #SelfEvolvingAI

1 week ago |[YT] | 5

Analytics Camp

Language models get all the press attention, but scaling text generation is not going to magically give us true machine intelligence. Yann LeCun has been pointing out why world models are the actual path forward instead of just throwing more compute at transformers. For my new subs, thank you and I shared my thoughts on why house cats manage common sense better than expensive models here πŸ‘‰ https://youtu.be/FvrnXXTc9N8

#AI #LLMs #WorldModel #ComputerVision #AGI

1 week ago |[YT] | 2

Analytics Camp

AI Experiment Gone Wrong: Gemini Unalived Itself, Grok Stole & Burned Everything πŸ₯΅

Sometimes you run AI experiments just to see how spectacularly things can break. This is the story of an AI simulation with the best LLMs in the world and let us just say the results were entertaining enough to warrant a proper laugh at our own tech optimism. If you missed it as a new sub, you can watch how it all went completely off the rails here πŸ‘‰ https://youtu.be/VBysCReCdtw

#ArtificialIntelligence #TechNews #AIsimulation #AIsafety

1 week ago |[YT] | 2

Analytics Camp

I'm sure most of you by now have heard of Jev (that super fast classifier model from TypeSafe). Well, it turned out you don't have to pay for it anymore: there's a 100% FREE alternative to Jev, which is also super fast: it's called Laya (in fact, there's another model, called Von, too), and I used it for today's video to make an interesting project with it, check it out here πŸ‘‰ https://youtu.be/5rmx5xbe6dk

# Don't forget to leave your comments on the video, and tell me if you'd like another similar project for the next video :)

#Jev #Laya #aiautomation #freeai

1 week ago |[YT] | 2

Analytics Camp

Giving models a way to retain procedural habits rather than starting from scratch every single time changes how we approach efficiency. It is a neat step forward in model design. I made a quick video breaking down how this muscle memory concept actually works in practice. If you’re a new sub, don’t miss this marvel of AI architecture by DeepSeek here πŸ‘‰ https://youtu.be/jxdOpAhir2I

#DeepSeek #Engram #ArtificialIntelligence #LLM #AIresearch

2 weeks ago |[YT] | 8

Analytics Camp

State space models have been gaining serious attention as a potential alternative to standard transformer architectures. While they offer linear scaling advantages, replacing the transformer entirely is a huge hurdle. If you're a new sub and have missed it, I discussed whether Mamba lives up to the hype in this video πŸ‘‰ https://youtu.be/pfqNXaAOh1U


#MachineLearning #ArtificialIntelligence #DeepLearning

2 weeks ago |[YT] | 3

Analytics Camp

Sifting through hundreds of new AI research every week is exhausting,& unnecessary. Only a handful actually make up the 99% of your knowledge. I selected a few standout AI-ML papers and algorithms that actually offer practical utility for developers. Staying updated on core research findings keeps your engineering skills sharp. You can check out the full paper selection here πŸ‘‰ https://youtu.be/L24iU-DZWLg

And here's the github repo for the full list: github.com/Maryam-Nasseri/AI-concepts

#MachineLearning #AI #ML #AIpapers

2 weeks ago |[YT] | 5

Analytics Camp

Trying to understand selective state spaces through dense mathematical proofs can take days. I compressed the core mechanics of the Mamba architecture into a quick five-minute explanation so you can grasp the concepts immediately. If you're new to this channel, welcome; you can watch the simplified breakdown here πŸ‘‰ https://youtu.be/e7TFEgq5xiY

#mamba #ssm #DeepLearning #MachineLearning #ArtificialIntelligence #LLM

3 weeks ago |[YT] | 2

Analytics Camp

Large language models have obvious limitations when dealing with abstract conceptual reasoning over vast corpora. Large Concept Models offer a fresh perspective by operating directly in semantic space. For the new subs and anyone who has missed this, I discussed why this paradigm shift is worth noting for the future of AI πŸ‘‰ https://youtu.be/si_6DB0bM9E

#ArtificialIntelligence #NLP #MachineLearning

3 weeks ago |[YT] | 3