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A new series of AI models, OpenAI o1, has been released in preview. These models are designed to spend more time thinking before responding, enabling them to reason through complex tasks and solve harder problems in science, coding, and math. Do check out their blog for more here "For example, o1 can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build and execute multi-step workflows." (Quote from the official OpenAI blog post) If anyone in the group has already tried using o1 for annotating cell sequencing data or similar use cases, I'd love to hear about your experience and any insights you can share!

Thanks, Aman. 😊 Hello, All! I'm pursuing academics in AI and Data Science under incumbent faculties of Harvard University and University of Pennsylvania. I blog at the Confluence ( www.kunalsconduit.wordpress.com ) I look forward to newer learnings from and contributing towards neuralnets.ai

NeuralNets welcomes Koonaal to our moderating team! He will help keep the community updated with the latest in AI research and ensure the community guidelines are being followed. @Koonaal, feel free to formally introduce yourself!

https://economictimes.indiatimes.com/jobs/c-suite/not-just-techies-companies-want-c-suite-leaders-too-to-have-ai-skills/articleshow/112931591.cms?from=mdr Growing relevance of AI, even beyond techies

I have written a blog series on Model Quantization here, where we have explored following topics Binary Representation of floating point numbers Bit Precision - how do CPUs and GPUs comprehend numbers Methods used for quantization and scaling range selection Types of quantization Do check it out, and let me know your thoughts !!!

For those who are short on GPU resources, https://ollama.com/ offers a vast library of quantized versions of top LLMs. Multiple quantization levels of each model are available. Tutorials to use Ollama with google colab: https://pub.towardsai.net/running-ollama-on-google-colab-free-tier-a-step-by-step-guide-9ef74b1f8f7a https://github.com/SkkJodhpur/Gen-ai/blob/main/Models/Ollama_3_A_Step_by_Step_Guide/Ollama_3_A_Step_by_Step_Guide.ipynb https://digitalitskills.com/running-ollama-on-google-colab-and-using-llm-models-for-free/

A non exhaustive list of resources to learn advanced NumPy: https://scipy-lectures.org/advanced/advanced_numpy/ https://medium.com/analytics-vidhya/advanced-numpy-218584c60c63 https://aaltoscicomp.github.io/python-for-scicomp/numpy-advanced/ https://www.youtube.com/watch?v=1NfIZD1xBxQ

The sequel tutorial from W3 school is a very good tutorial to learns basic and intermediate topics on sql. It covers intro, basic commands, table joins, databases etc. The tutorial is handy for those who want to get started as well as those who want to revise a concept.

Maybe this should be under pytorch, and not a separate catergory?

VideoBERT: A Joint Model for Video and Language Representation Learning - ICCV 2019 - Self-supervised learning has become increasingly important to leverage the abundance of unlabeled data available on platforms like YouTube. Whereas most existing approaches learn low-level representations, the paper proposes a joint visual-linguistic model to learn high-level features without any explicit supervision. In particular, the authors build upon the BERT model to learn bidirectional joint distributions over sequences of visual and linguistic tokens, derived from vector quantization of video data and off-the-shelf speech recognition outputs, respectively. VideoBERT is used n numerous tasks, including action classification and video captioning. VideoBERT can be applied directly to open-vocabulary classification, and confirm that large amounts of training data and cross-modal information are critical to performance. Furthermore, it outperform the state-of-the-art on video captioning, and quantitative results verify that the model learns high-level semantic features.

Andrej Karpathy completed his PhD from Stanford. He is one of the founders of openAI. His Youtube have many informative videos - from basics to advanced topics. Youtube channel : https://www.youtube.com/@AndrejKarpathy/featured

A non exhaustive list of tutorials for beginners https://www.tensorflow.org/tutorials/quickstart/beginner - Train and evaluate an image classifier https://www.datacamp.com/tutorial/tensorflow-tutorial - detailed tutorial by data camp which teaches basics including installing the library and training your own model https://www.geeksforgeeks.org/tensorflow/ - list of many TF functions https://www.simplilearn.com/tutorials/deep-learning-tutorial/tensorflow - linear regression in TF. Also explains what is a tensor.

Thank you.

#AITends #GenAITrends

Welcome, @lodini! Looking forward to seeing you around on NeuralNets!

My name is Corey and I have an interest in learning A.I., Machine Learning, and Blockchain Development. I obtained my CompTia A+ last year, so I'm definitely a freshman in this space. I'm currently taking a Web Development (Learning Javascript) class and plan to begin this roadmap to A.I. after I complete that. I look forward to gaining insight from you all. Thanks for creating this platform.

https://github.com/rasbt/LLMs-from-scratch/tree/main

https://github.com/openai/openai-cookbook

https://github.com/anthropics/anthropic-cookbook

https://github.com/langchain-ai/langchain

Hello, My team and I are conducting research and need your help to validate a subset of our database containing written sentences in Marathi and Gujarati. If you are fluent in either of these languages and want to contribute to something meaningful, this is your chance! You'll get a special acknowledgment for your contribution and hey, it is a great way to connect! 😉 If you are interested in helping out, email me at kotecha.nikunj95@gmail.com or connect with me on LinkedIn: https://www.linkedin.com/in/nikunjkotecha/

Hello, My team and I are conducting research and need your help to validate a subset of our database containing written sentences in Marathi and Gujarati. If you are fluent in either of these languages and want to contribute to something meaningful, this is your chance! You'll get a special acknowledgment for your contribution and hey, it is a great way to connect! 😉 If you are interested in helping out, email me at kotecha.nikunj95@gmail.com or connect with me on LinkedIn: https://www.linkedin.com/in/nikunjkotecha/

Thanks @Vinija, there you go --> linkedin

Many thanks to Administrators of NeuralNets. So far I am aware of - Aman and Vinija. Your content on LinkedIn is very resourceful and informative. With your achievements, you have truly inspired me into thinking out of the box and dreaming big. About me, I am Nikunj Kotecha and I am a Machine Learning Professional. I have previously worked as a Senior Solutions Architect on building models for Neuromorphic Hardware. I'd love to collaborate with people on research projects that may include Edge, Gen AI or SSM architectures. Looking to connect with people, collaborate and learn from each other. Cheers! Nikunj Kotecha

Thanks @Ishan, will do. Can you share your website or Linkedin so I can give you credit for those notes on my site.