Artificial Intelligence

OpenAI released GPT-4o. It's the JARVIS we all dreamed of. New model which can reason across text, audio, and video in real time. It's extremely versatile, fun to play with, and is a step towards a much more natural form of human-computer interaction (and even human-computer-computer interaction). https://openai.com/index/hello-gpt-4o/

Companies won't go from 100 developers down to 0 because of AI. They will, however, solve 10x more problems with the same team. 10x more software, 10x higher quality. We may see a net gain in software jobs, not a decrease.

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❗Generative AI is EVERYWHERE right now. So I've searched the internet for the best 10 FREE digital trainings available to really get started with #GenAI. 🔍 Beginner Level Courses: 1. Fundamentals of Generative AI for Beginners with Curtis Morton on Coursera - https://www.coursera.org/learn/aws-generative-ai-for-beginners 2. Introduction to Generative AI by Google Cloud - https://www.cloudskillsboost.google/course_templates/536 3. Generative AI for Everyone with Andrew Ng on Coursera - https://www.coursera.org/learn/generative-ai-for-everyone 4. Snowflake Data Academy for Generative AI on Snowflake - https://www.snowflake.com/data-cloud-academy-generative-ai-llm/ 5. Foundations of Prompt Engineer on AWS SkillBuilder (FREE) - https://explore.skillbuilder.aws/learn/course/external/view/elearning/17763/foundations-of-prompt-engineering 6. Introduction to Large Language Models (LLMs)* with Google on Coursera - https://www.coursera.org/learn/introduction-to-large-language-models?action=enroll 🛑 Intermediate/Advanced Level Courses: 1. Encoder - Decoder Architecture with Google* on Coursera - https://www.coursera.org/learn/encoder-decoder-architecture 2. Attention Mechanisms with Google* on Coursera - https://www.coursera.org/learn/attention-mechanism 3. Probabalistic Deep Learning* with TensorFlow and Imperial College London on Coursera - https://www.coursera.org/learn/probabilistic-deep-learning-with-tensorflow2 4. Generative AI with Large Language Models* with DeepLearning.AI on Coursera - Introduction to Large Language Models (LLMs) with Google on Coursera - https://www.coursera.org/learn/introduction-to-large-language-models *Any course I've marked with an * can be accessed as a part of a free trial - so please pick wisely! Anything without the * is free of charge and should be consumed! Oftentimes, Coursera will allow you to take these courses FREE as an audit of the content. ♻ Did you find this post helpful? Don't gate keep - share it with your network! Join the Ai India Community! (https://linktr.ee/AiCommunity)

Computer Vision Bootcamp 🤖 +40 hrs sessions. +12 Weeks. +13 Tools & Technology.. +7 Projects. +5 Case studies +5 Skills. +5 Domains. +7 Homework Assignments. Duration: 3 months 📌Remote and weekend sessions. 📌Starting from basics. 📌Get Certificate. For registrations: https://aiindia.ai/cv-bootcamp/ To attend 1st session on Python for Computer Vision: https://chat.whatsapp.com/BibIwuuUEWrGEWdZHYluNe

Microsoft just casually shared their new Phi-3 LLMs less than a week after Llama 3 release. Based on the benchmarks in technical report (https://arxiv.org/abs/2404.14219), even the smallest Phi-3 model beats Llama 3 8B despite being less than half the size. Phi-3 has "only" been trained on 5x fewer tokens than Llama 3 (3.3 trillion instead of 15 trillion) Phi-3-mini less has "only" 3.8 billion parameters, less than half the size of Llama 3 8B. Despite being small enough to be deployed on a phone (according to report), it matches the performance of the much larger Mixtral 8x7B and GPT-3.5. (Phi-3 mini can be quantized to 4-bits, so it only requires ≈ 1.8GB of memory.) What is the secret sauce? According to the technical report, it's dataset quality over quantity: "heavily filtered web data and synthetic data". Next to the 4k context-window version, there's also a phi-3-mini-128K model that supports up to 128k tokens. Fun fact: Phi-3 uses the same tokenizer with a vocabulary size of 32,064 as Llama 2.

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This week's Ai news 🐥 1. MetaAIs Llama3 is out with very exciting features. 2. OpenAI introduces Batch Processing API recently. 3.  Limitless Pendant: Your Personalised AI assistant 4. Microsoft’s WizardLM-2 Outperforms GPT-4 in performance 5. Updating soon