AI Hustle: News on Open AI, ChatGPT, Midjourney, NVIDIA, Anthropic, Open Source LLMs: Gleen AI Secures $4.9M to Stop AI Hallucinations

Welcome to the OpenAI podcast, the podcast that opens up the world of AI in a quick and

concise manner.

Tune in daily to hear the latest news and breakthroughs in the rapidly evolving world

of artificial intelligence.

If you've been following the podcast for a while, you'll know that over the last six

months I've been working on a stealth AI startup.

Of the hundreds of projects I've covered, this is the one that I believe has the greatest

potential.

So today I'm excited to announce AIBOX.

AIBOX is a no-code AI app building platform paired with the App Store for AI that lets

you monetize your AI tools.

The platform lets you build apps by linking together AI models like chatGPT, mid-journey

and 11Labs, eventually will integrate with software like Gmail, Trello and Salesforce

so you can use AI to automate every function in your organization.

To get notified when we launch and be one of the first to build on the platform, you

can join the wait list at AIBOX.AI, the link is in the show notes.

We are currently raising a seed round of funding.

If you're an investor that is focused on disruptive tech, I'd love to tell you more

about the platform.

You can reach out to me at jaden at AIBOX.AI, I'll leave that email in the show notes.

The first thing I want to cover here is that as companies globally really accelerate the

adoption of generative AI in various aspects of their operations, that could be ranging

from internal processes to customer interactions.

Of course, from the very beginning, and when chatGPT first launched, we've always had these

concerns about AI generated inaccuracies.

Of course, these are what we call AI hallucinations, and these continue to be a point of focus.

Emerging to address this issue is Glenn AI.

This is a startup, right?

Like I mentioned, it's raised $4.9 million in a funding round that was led by Slow Ventures,

Sixth Man Ventures, South Park Commons, and Spartan Group.

The round also featured participation from angel investors like Sam Lesson, who is the

former VP of Product Management at Facebook or Meta.

Glenn AI's primary offering is an anti-hallucination data layer software that's targeted initially

at optimizing AI models for customer support roles.

Ashu Dubey, who's the CEO and co-founder of Glenn AI, revealed that and said essentially

quote, what we do is when we send data from a user to a large language model, we give

facts that can create a good answer.

If we don't believe we have good enough facts, we don't send the data to the LLM.

Let's talk about some of the challenges with AI hallucinations.

AI tools, right, we've got a bunch of prominent LLMs, we've got ChatGBT, Clawd2, Lama2, Bard.

All of these are essentially designed to generate responses based on human prompts.

However, the reliability of the outputs, as we all know, can sometimes be quite questionable.

For instance, ChatGBT once incorrectly answered a question about Earth eclipsing Mars, and

it was delivering a confident but very fundamentally wrong response.

These kind of inaccuracies, they might be funny when you're using it yourself, they're

casual interactions, but when we kind of look at how these affect enterprises, they pose

a fairly significant risk, especially in sectors that deal with critical information.

We have healthcare, we have the financial industry, there's a lot of different industries

where you just don't want to get this kind of stuff wrong, and you really need things

to be 100% accurate, 100% perfect.

You don't really have a margin of error on some of these industries, especially when

it comes to the military, healthcare, financial services, all sorts of areas.

That's really where Glean AI's solution comes in, and what their whole concept around accuracy

is.

Glean has essentially developed a proprietary AI and machine learning layer that functions

independently of any LLM, and enterprises can essentially opt to use this.

The layer scans an organization's internal data, converting it into a vector database

to enhance the functionality of the AI model's responses.

Specifically, the layer performs several key functions.

Number one, aggregates both structured and unstructured knowledge from various internal

sources.

Number two, it extracts key facts while reducing noise and redundancy.

Do we actually noted that this process, quote, allows us to glean the signal from the noise,

which is, I guess, what inspired the company's name there, Glean?

The third thing it does is it then goes and constructs a knowledge graph to identify relationships

between different data entities and to retrieve the most pertinent information when someone

is querying it.

Then finally, what it does is it actually checks the LLM's output against the database

of curated facts, opting for a cautious, I don't know, approach when evidence is lacking.

It does this to really minimize the risk of hallucination.

In essence, Glean's AI layer serves as a quality control manager for chatbots, only enabling

the LLM to respond when there is really high confidence in the comprehensiveness of the

facts.

The technology also allows users to quickly deploy custom support chatbots that can be

customized to suit different use cases.

Let's talk about the flexibility and essentially the early adoption of Glean, what we're seeing

right now in the industry.

In Glean, AI's solution is model agnostic.

That means that it's supporting any LLM with API integrations, so while it supports popular

models like OpenAI's GPT-3.5 Turbo, it also accommodates security conscious customers

by offering some private server options, which I think when you're focusing on the enterprise

and this is the big customer you serve, you absolutely have to offer these private server

options, essentially allowing companies to know that none of their personal data is ever

leaving a private server, nothing is ever going to be used to train another AI model

and that they own everything that is, you know, everything being used, all the data

being given to them.

Specifically, it's the data, right?

Specifically, these enterprises do not want their personal data or information about their

personal data to get leaked and cause a big headache or worse, right, proprietary data

get in the hands of a competitor or someone else, right?

So that's the big worry and so you really have to focus on these private servers.

The early signs I would say indicate that the market is fairly receptive.

Glean AI has already seen uptake in sectors that demand high levels of accuracy such as

quantum computing and cryptocurrency.

So Estevan Villar, who, you know, he works on community support at Matter Labs, praised

the ease of Glenn AI's implementations stating, quote, implementing Glean AI was close to

no effort on our side, we just provided a few links and the rest was smooth.

So as the enterprise adoption of LLMs continues to gain momentum, Glean AI aims to be on the

forefront of ensuring these technologies are as accurate as they are versatile.

They said, quote, our vision is every company will have an AI assistant powered by their

own proprietary knowledge graph.

This vector database will become as important of an asset as their website enabling personalized

automation across the entire customer life cycle.

So I personally have obviously been very, very bullish on AI and what's going on in

the industry right now.

I think it's going to be interesting to see if indeed every company does have an AI chat

bot that is, you know, their whole, their whole knowledge base in my opinion.

I think this would be a really smart move.

This would be going in the right direction and then essentially, if you want information

from a company, you go and query their knowledge base.

And I think this will be really interesting to see how this scales in the future.

I think this is the direction we're going.

And I think Glean is setting itself up to be a really solid player, making sure that

all of the information in these AI chatbots is 100% accurate.

If you are looking for an innovative and creative community of people using chat

GPT, you need to join our chat GPT creators community.

I'll drop a link in the description to this podcast.

We'd love to see you there where we share tips and tricks of what is working in chat GPT.

It's a lot easier than a podcast as you can see screenshots, you can share and comment

on things that are currently working.

So if this sounds interesting to you, check out the link in the comment.

We'd love to have you in the community.

Thanks for joining me on the Open AI podcast.

It would mean the world to me if you would rate this podcast wherever you listen to your

podcasts and I'll see you tomorrow.

Machine-generated transcript that may contain inaccuracies.