Issue 48 16th April 2024

Highlights

OpenAI makes ChatGPT ‘more direct, less verbose’

ChatGPT, OpenAI’s viral AI-powered chatbot, just got a big upgrade. OpenAI announced today that premium ChatGPT users — customers paying for ChatGPT Plus, Team or Enterprise — can now leveraged an updated and enhanced version of GPT-4 Turbo, one of the models that powers the conversational ChatGPT experience.

Elon Musk predicts superhuman AI will be smarter than people next year

His claims come with a caveat that shortages of training chips and growing demand for power could limit plans in the near term Superhuman artificial intelligence that is smarter than anyone on Earth could exist next year, Elon Musk has said, unless the sector’s power and computing demands become unsustainable before then.

The Rise of Generative AI Smartphones

No wonder the Apple iPhone is beginning to lose market momentum given how aggressively Qualcomm is pushing Generative AI on smartphones.

Google.org launches $20M generative AI accelerator program

Google.org, Google’s charitable wing, is launching a new program to help fund nonprofits developing tech that leverages generative AI. Called Google.org Accelerator: Generative AI, the program is to be funded by $20 million in grants and include 21 nonprofits to start, including Quill.org, a company creating AI-powered tools for student writing feedback, and World Bank.

Video

David Smith - Silicon Minds, Humans Hearts

Dive into the ever-evolving world of AI with David Smith, a Microsoft Cloud Advocate, as he shares his insights on how AI is shaping our personal and professional lives. From the explosive impact of ChatGPT to the intricacies of trust and understanding in AI technology, this episode of Human Hearts Silicon Minds is packed with thought-provoking discussions on the future of artificial intelligence. Don't forget to hit subscribe for more deep dives into the silicon-powered brains that are changing our world!

AI Show LIVE | Global Face Grouping AND Grounding LLMs using Prompt Content from Video Indexer

Connect faces across videos seamlessly and unlock advanced video insights for semantic search and summarization. Join the innovation wave with Azure AI.

Learn Live - Train a model and debug it with Responsible AI dashboard

Full series information: https://aka.ms/learnlive-microsoft-learn-ai-skills-challengeMore info here: https://aka.ms/learnlive-microsoft-learn-ai-skills-chall...

Articles

New AI method captures uncertainty in medical images

By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

Introduction to Image Embedding and Accuracy

With Clustering, Linear Discriminant Analysis, and Performance Evaluation

OpenAI Batch API

OpenAI are now offering a 50% discount on batch chat completion API calls if you submit them in bulk and allow for up to 24 hours for them to be run.

Revolutionizing Video Editing: Adobe’s Generative AI Video Tools Comes to Premiere Pro

Inside Adobe’s Generative AI Video Tools: A Major Upgrade for Premiere Pro UserS

Ideas: Language technologies for everyone with Kalika Bali

The new series “Ideas” debuts with guest Kalika Bali. The speech and language tech researcher talks sci-fi and its impact on her career, the design thinking philosophy behind her research, and the “outrageous idea” she had to work with low-resource languages.

Multimodal Large Language Models & Apple’s MM1

The below blog post goes into architectural ablations in Apple’s MM1 paper and their research findings when building a Multimodal Large Language Model (MLLM). At this time, we have 2 different systems that help us transform the image into tokens the LLM can reason with: image encoder and connector.

Generative AI is coming for healthcare, and not everyone’s thrilled

The broad enthusiasm for generative AI is reflected in the investments in GenAI efforts targeting healthcare. But is healthcare-focused generative AI ready for prime time?

Deploying Large Language Models: vLLM and QuantizationStep by Step Guide on How to Accelerate…

Line 6–10: Loaded Phi-2 model and tokenized the prompt “ Generate a python code that accepts a list of numbers and returns the sum. The memory efficiency of vLLM has proven very useful in running Large Language Models at low latency and high throughput.