Nikhil Kumar Jha
@nikhilkumar_jha
Just a guy with an opinion about a couple of things.
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🚨 BREAKING: HuggingFace just released 9 free AI courses. You can now learn LLMs, vision, agents & more all for free. Here’s how to start today ↓
🚨 BREAKING: Microsoft just dropped an 18-episode series called "Generative AI for Beginners". Ideal for beginners, developers, and AI enthusiasts looking to build a solid foundation. Here’s a breakdown (Save this👇):🧵
The most socially accepted form of self-sabotage: Overthinking. It’s why you can’t make decisions, finish anything, or sleep without scrolling. The 6 hard truths from Naval Ravikant that shattered my obsession with "Mental effort":
Google Maps just got upgraded! Now you can directly chat with it like ChatGPT. Here are 5 new awesome features available on Maps:
Google just dropped a 100% free learning path on Generative AI with 9 Courses 👇 Intro to Gen AI Intro to LLMs Intro to Responsible AI Intro to Image Generation Encoder-Decoder Attention Mechanism Transformers and BERT Image Captioning Gen AI Studio cloudskillsboost.google/paths/118
Trending repository of the day 📈 localGPT Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. Main language: Python Last 24h: 1584 ⭐ Total: 3949 ⭐️ github.com/PromtEngineer/…
Something interesting caught my attention over the weekend. ** Scikit-LLM - github.com/iryna-kondr/sc…** This integrates powerful LLMs like ChatGPT into scikit-learn for enhanced text analysis tasks, and queries OpenAI API and transforms the response into a regular list of labels.
Prof. Gilbert Strang the original YouTuber, before there was a YouTube. Thank you for your many contributions!
Not going to lie, have a tear in my eye 😢
Oops haven't tweeted too much recently; I'm mostly watching with interest the open source LLM ecosystem experiencing early signs of a cambrian explosion. Roughly speaking the story as of now: 1. Pretraining LLM base models remains very expensive. Think: supercomputer + months.…
Stable Diffusion implemented using @Tensorflow and #Keras. - Converted pre-trained models - Easy to understand code - Minimal code footprint Code : github.com/divamgupta/sta… Google Colab with @Gradio demo : colab.research.google.com/drive/1fBlfPsL…
8 Google Chrome extensions that will save you hundreds of hours of your work ( all free ) :
#ECCV2022 We propose Relighting4D, which enables free-pose and free-viewpoint relighting from only monocular videos under unknown illuminations. Code and models: github.com/FrozenBurning/…
![liuziwei7's tweet card. [ECCV 2022] Relighting4D: Neural Relightable Human from Videos - FrozenBurning/Relighting4D](https://pbs.twimg.com/card_img/1990288211004846080/tLPGW7vE?format=jpg&name=orig)
Relighting4D: Neural Relightable Human from Videos abs: arxiv.org/abs/2207.07104 project page: frozenburning.github.io/projects/relig… github: github.com/FrozenBurning/…
The digital transformation in the healthcare sector, respecting the due privacy for sensitive data, must not be considered a different path from that of any other industry. Microblog & social design by @antgrasso via @LindaGrass0 #DigitalTransformation #healthcare #HealthTech
data-science-interviews: Data science interview questions and answers Lang: HTML ⭐️ 5337 Author: @Al_Grigor #MachineLearning github.com/alexeygrigorev…
Elon Musk sent the below email to the executive staff at Tesla. Try sending the same email to software engineering and see what happens.🍿
#Tesla no longer allowing remote work @TeslaPodcast @SawyerMerritt @WholeMarsBlog @garyblack00 @GerberKawasaki
ML bugs are so much trickier than bugs in traditional software because rather than getting an error, you get degraded performance (and it's not obvious a priori what ideal performance is). So ML debugging works by continual sanity checking, e.g. comparing to various baselines.
If you cannot be corrected without being offended, then you’ll never truly grow in life. 🧠
Saw this today. Lifecycle of a leaf. Kinda synonymous with humans too. And to think I'm already in the dark green section was food for thought. It's funny how the early bright green leaves look more beautiful, and the dark green ones look wiser. 😂
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