Table of Contents
- Latest Version of Zilliz Cloud Aims to Cure AI ‘Hallucinations’
- What’s Up With Open Source LLMs?
- NVIDIA to Bring AI to Every Industry, CEO Says | NVIDIA Blog
- GoDaddy Launches Generative AI Prompt Library for Small Businesses
Latest Version of Zilliz Cloud Aims to Cure AI ‘Hallucinations’
Inside Big Data
Other databases boast about crunching millions of vectors per second.
Zilliz Cloud is the first to process a billion.
That could be the key to making large language models (LLMs) like ChatGPT tell the truth.
Zilliz Cloud is the managed service from Zilliz, the inventors of Milvus, the open source vector database used by more than 1,000 enterprises around the world.
It’s purpose-built for AI and other applications powered by unstructured data.
It represents data as high-dimensional vectors, or embeddings — the kind generated by machine-learning models — making it a perfect fit for uses including:
E-commerce: Powering product recommendation engines with multiple sources of unstructured data, such as search history and past purchases
Semantic text search: Processing and querying text across multiple vectors such as intent, location and previous search history
Targeted advertising: Improving the relevance and effectiveness of ad delivery
UGC recommendation: Identifying related content even if other users haven’t liked or engaged with it
Risk-control and anti-fraud: Spotting vulnerabilities, anomalous behavior and illicit activities
New drug discovery: Discovering new drugs by identifying similar chemical compounds.
Using OpenAI plug-ins to connect to ChatGPT, it provides the basis for the emerging CVP (ChatGPT/Vector DB/Prompts-as-Code) technology stack.
It performs up to 40X faster than competing solutions.
It scales to billions of vectors.
It’s available on multiple clouds.
It offers automatic ANNS indexing.
And it’s backed by a world-class operations team that ensures it’s always up to date and secure, with a 99.99% uptime SLA and a zero-data-corruption guarantee.
Link: https://insidebigdata.com/2023/04/12/latest-version-of-zilliz-cloud-aims-to-cure-ai-hallucinations/
What’s Up With Open Source LLMs?
Maggie Basta
Scale Blog
The fact that GPT4 now performs better than 90% of humans on the LSAT feels both amazing and disturbing.
But we have also started to see open-source projects nipping at OpenAI’s heels in what some have called LLM’s “Stable Diffusion Moment.”
There are obvious benefits to using an open source model.
Privacy and security, affordability, customization, and avoiding lock-in are major considerations for enterprises and areas where open source stands to win.
Contingent on their ability to compete reasonably on quality, these factors make open source models hard to ignore.
As thoughtful venture capitalists who highly value our personal interactions with companies (and since I value my employment as an associate), we would never dream of automating our own outreach emails to founders (I promise I’m not kidding, I wake up at dawn every day to email the companies nearest and dearest to my heart, please reply to me).
Instead, we’ve decided to build an email generator for founders that replies to outreach from VCs and politely tells us to piss off.
Afterall, what am I but a humble servant to our portfolio and prospective companies.
There were more open source projects and hosting platforms than we could possibly have tried ourselves.
However, this project made the opportunities for disruption at both the compute and modeling layer abundantly clear.
Below is a list of exciting projects and companies we are watching:
If you really feel so inclined, you can find the code for the simple GPT4 version of the extension here.
This version assumes you have GPT4 access but can easily be changed to use 3.5 if needed.
It also hard codes a small set of examples in the prompt in place of the sample dataset since I didn’t feel like publicly exposing examples of every time I get rejected.
While I sincerely hope no one will actually be using it to reply to me, building this tool provided an extremely valuable glimpse into the current state of open-source LLMs and the requirements for running one.
Yes, GPT is fantastic, but less than two months after the llama weights were leaked, we are already seeing open source models produce output that would have had us jumping out of our seats a year ago.
No, our mini project is not revolutionary, exhaustive, or scientifically justified, but if one hobbyist developer can get functional output from these models in a mini POC within a week, it’s hard to believe that we won’t see these models integrated into real business products in the next 12 months.
The opportunities for development in this space are immense.
Link: https://www.scalevp.com/blog/whats-up-with-open-source-llms
NVIDIA to Bring AI to Every Industry, CEO Says | NVIDIA Blog
Sierra Mitchell
News AKMI
In a sweeping 78-minute presentation anchoring the four-day event, Huang outlined how NVIDIA and its partners are offering everything from training to deployment for cutting-edge AI services.
He announced new semiconductors and software libraries to enable fresh breakthroughs.
And Huang revealed a complete set of systems and services for startups and enterprises racing to put these innovations to work on a global scale.
Huang punctuated his talk with vivid examples of this ecosystem at work.
He announced NVIDIA and Microsoft will connect hundreds of millions of Microsoft 365 and Azure users to a platform for building and operating hyperrealistic virtual worlds.
He offered a peek at how Amazon is using sophisticated simulation capabilities to train new autonomous warehouse robots.
He touched on the rise of a new generation of wildly popular generative AI services such as ChatGPT.
And underscoring the foundational nature of NVIDIA’s innovations, Huang detailed how, together with ASML, TSMC and Synopsis, NVIDIA computational lithography breakthroughs will help make a new generation of efficient, powerful 2-nm semiconductors possible.
The arrival of accelerated computing and AI come just in time, with Moore’s Law slowing and industries tackling powerful dynamics —sustainability, generative AI, and digitalization, Huang said. “Industrial companies are racing to digitalize and reinvent into software-driven tech companies — to be the disruptor and not the disrupted,” Huang said.
Acceleration lets companies meet these challenges. “Acceleration is the best way to reclaim power and achieve sustainability and Net Zero,” Huang said.
GTC, now in its 14th year, has become one of the world’s most important AI gatherings.
This week’s conference features 650 talks from leaders such as Demis Hassabis of DeepMind, Valeri Taylor of Argonne Labs, Scott Belsky of Adobe, Paul Debevec of Netflix, Thomas Schulthess of ETH Zurich and a special fireside chat between Huang and Ilya Sutskever, co-founder of OpenAI, the creator of ChatGPT.
More than 250,000 registered attendees will dig into sessions on everything from restoring the lost Roman mosaics of 2,000 years ago to building the factories of the future, from exploring the universe with a new generation of massive telescopes to rearranging molecules to accelerate drug discovery, to more than 70 talks on generative AI.
Link: https://newsakmi.com/news/tech-news/nvidia-to-bring-ai-to-every-industry-ceo-says-nvidia-blog/
GoDaddy Launches Generative AI Prompt Library for Small Businesses
Cision PR Newswire
TEMPE, Ariz., April 7, 2023 /PRNewswire/ — GoDaddy Inc. (NYSE: GDDY), the company that helps entrepreneurs thrive, just released a Small Business Generative AI Prompt Library (smallbusinessprompts.com), a catalog of more than 35 prompts, and growing, ready-made for small businesses to start benefiting from this innovative technology.
Each prompt, which is a description of the request you want generative AI to accomplish for you, is specifically designed to help small businesses get helpful results out of tools like OpenAI’s ChatGPT and Google’s Bard.
Link: https://www.prnewswire.com/news-releases/godaddy-launches-generative-ai-prompt-library-for-small-businesses-301792581.html