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Data Science in your pocket
Индия
Добавлен 11 июн 2019
Welcome to Data Science In Your Pocket! Dive deep into advanced AI and Data Science topics not thoroughly covered elsewhere. Discover comprehensive insights and answers to complex questions, all in one place. Subscribe for in-depth tutorials and expert knowledge on cutting-edge data science and AI.
We have tutorials on Generative AI, Reinforcement Learning, NLP, Time Series, Graph Analytics and other major Data Science domains
We have tutorials on Generative AI, Reinforcement Learning, NLP, Time Series, Graph Analytics and other major Data Science domains
How to Fine-tune ModernBERT for Classification
This video explains the codes to Fine-tune ModernBERT for Classification problems using Google Colab #ai #ml #classification #deeplearning #generativeai
Просмотров: 15
Видео
Unboxing NVIDIA Jetson Orin Nano SuperComputer
Просмотров 64712 часов назад
This video unboxes NVIDIA Jetson Orin Nano SuperComputer, an upgraded version of Jetson Nano specialized for Generative AI #ai #nvidia #jetson #embedded #robotics #chatgpt
Generative AI 2024 recap
Просмотров 19120 часов назад
This video summarizes all major GenAI releases this year #ai #generativeai #ml #datascience #chatgpt
ModernBERT vs BERT
Просмотров 36622 часа назад
This video explains major differences between ModernBERT and BERT text embedding model #ai #ml #generativeai #datascience
Meta Byte Latent Transformer: Improved Transformer for LLMs
Просмотров 1,1 тыс.22 часа назад
This video explains the working of Byte Latent Transformer released by Meta which uses entropy based patches instead of tokenization and is more robust and efficient than traditional Transformers #ai #ml #deeplearning #neuralnetworks #chatgpt
How to use Qwen QVQ : Best open-sourced Vision Reasoning LLM
Просмотров 210День назад
Qwen QVQ-72B is a new Vision reasoningodel similar to OpenAI-o1 which is open-sourced and is good #ai #openai #chatgpt #computervision #ml
What is KAG ? Better alternate for RAG and GraphRAG
Просмотров 1,5 тыс.День назад
This video explains KAG, an enhanced GraphRAG framework for LLM based retrieval using Knowledge Graphs #ai #generativeai #llm #programming #chatgpt
How to use DeepSeek-V3 for free ?
Просмотров 6 тыс.День назад
DeepSeek-V3 is the best open-sourced LLM outperforming Claude3.5 Sonnet, GPT-4o, Llama3.1 405B, Qwen2.5 etc. Check how to use it for free #ai #generativeai #chatgpt #llm #free
DeepSeek-V3 : The best Open-sourced LLM
Просмотров 1,4 тыс.День назад
DeepSeek-V3 has outperformed some major LLMs like GPT-4o, Claude3.5 Sonnet, Llama3.1 etc and is the best Open-sourced model. Check its details and how to use it for free #ai #chatgpt #generativeai #llm #technology
ML Interview Questions: PCA
Просмотров 48День назад
ML Interview Questions PDF: datasciencepocket.gumroad.com/l/nkmph?layout=profile #ai #ml #interview #job #datascience
Machine Learning Interview Questions: Linear Regression
Просмотров 82День назад
ML Interview Questions PDF : datasciencepocket.gumroad.com/l/nkmph?layout=profile #ai #interviewquestions #ml #pdf #interview
12 days of OpenAI summarized
Просмотров 370День назад
This video summarized all the releases done in OpenAI 12 days of release including Sora and OpenAI o3 #ai #chatgpt #openai #generativeai #gpt
Generative AI Interview Questions : Prompt Engineering
Просмотров 73День назад
Generative AI Interview Questions PDF : datasciencepocket.gumroad.com/l/xuisns?layout=profile #ai #generativeai #chatgpt #ml #interview
Is OpenAI o3 really AGI ?
Просмотров 383День назад
OpenAI o3 released recently and has passed many benchmarks including ARC-AGI. But is OpenAI o3 AGI? #ai #openai #chatgpt #generativeai #ml #technology
Genesis : Physics Generative AI Engine for Robotics Simulation
Просмотров 1,5 тыс.День назад
Genesis : Physics Generative AI Engine for Robotics Simulation
How to use Google Gemini2 Flash Thinking , new reasoning LLM for free ?
Просмотров 189День назад
How to use Google Gemini2 Flash Thinking , new reasoning LLM for free ?
Generative AI Interview Questions : LLMs
Просмотров 17714 дней назад
Generative AI Interview Questions : LLMs
ML Interview Questions: Logistics Regression
Просмотров 5314 дней назад
ML Interview Questions: Logistics Regression
Place brand logo or objects in any AI image : OminiControl
Просмотров 6414 дней назад
Place brand logo or objects in any AI image : OminiControl
Best OpenAI ChatGPT alternate : Mistral Chat
Просмотров 5814 дней назад
Best OpenAI ChatGPT alternate : Mistral Chat
Mamba vs Attention : Which LLM mechanism is best ?
Просмотров 10221 день назад
Mamba vs Attention : Which LLM mechanism is best ?
Qwen and Llama LLMs free API key : SambaNova
Просмотров 17321 день назад
Qwen and Llama LLMs free API key : SambaNova
Google Willow : Quantum Computing has changed forever
Просмотров 95721 день назад
Google Willow : Quantum Computing has changed forever
How to use Hunyuan-Video for free ?
Просмотров 4,8 тыс.21 день назад
How to use Hunyuan-Video for free ?
So wait what does it DO
It's an AI embedded system. Sort of mini computer with GPU. Will be posting a few tutorials soon
Similar specs of GTX1650Ti mobile version.
Is it available in market? What's the cost?
From where did u get it ?
This is sponsored by NVIDIA: ruclips.net/video/A_VxFEtroGQ/видео.html
Hi there. Came here through reddit. I am in a research project doing radar investigation of roads and we are thinking about developing a "live" service for clients. I'd like to ask you if you would consider doing a video on its performance and software ecosystem, for us that would mainly be Ultralytics, as well as bottlenecks like the SD card.I know it's research I have to do myself but I need material to justify this for my project team ;)
Yepp, will be doing soon
Is there a way to use that for free? Is there a free API?
You can chat for free : ruclips.net/video/Li_rmbj5-KA/видео.htmlsi=mN9h8B3uV93JxyA6
why you use networkx ? should be neo4j used? what db you use for graph creation?
where is code ?
may you share python code for KAG and links to original paper?
Dude! That is NOT how you pronounce Einstein. Good video, but that just bothers me haha... It's not "in-stin".
What level of hardware is required？
GPU
That was very informative. Thank you!
Thanks
Bro you make the best ai vids
Thanks. Means a lot🙏
How does performance on visual task compared to Gemini 2.0 flash models
Gemini2 is better. But given this is open-sourced, it has an edge
thankyou
Thanks
If I am understanding this correctly, this means dynamically sized "byte entropy chunks" instead of tokens. Would this mean that quantization would be unnecessary? It would make it more difficult to map the data and use vector storage, but if we are relying on a model to do all recall it might make more sense... Very, very cool stuff.
it always gives me an error message : my api key is expired
Try with a new account
капец у тя акцент кошмарный
Anybody having problems getting a code send to the sign-up email address during the sign-up process?
I don't think so this was an issue yesterday. Maybe due to traffic
Bro you really just read text the whole time? A link would have been enough
Thanks for the feedback