⏰ LIMITED-TIME INVITE: Build No-Code GenAI Apps Using AWS Bedrock
We're making it (a lot) easier for you to get started building with GenAI
If you're involved in GenAI development, the opportunities are staggering! But, for most traditional data professionals, there's a significant challenge.
The Scope Of The Challenge
If you want to start building generative AI applications from scratch, you’re going to need to overcome some major hurdles, like:
The Skills Barrier: It can take roughly 4 years to cultivate the expertise needed to become a proficient deep learning engineer. Out of the numerous deep learning experts in the field, only 5,000 people have the prowess to build and train LLMs from the ground up. (1)
🤯 Training GPT-3 solely on an NVIDIA Tesla V100 GPU could take a whopping 288 years!
The Technical Constraints: As an example, training GPT-3 solely on an NVIDIA Tesla V100 GPU could take a whopping 288 years (2). Though spreading the computation over multiple GPUs can speed this up, the financial cost becomes a significant barrier.
The Economic Implications (3): To put it in perspective, training Meta's Llama 2 with 7b and 70b parameters, respectively, required vast GPU hours. In monetary terms, the training cost is around:
~10b parameters: Approximately $150,000
~100b parameters: Around $1,500,000.
In short, to build a generative AI application from scratch, it's not just the 4 years of learning you’ll need to do, but there’s also the significant time and financial investments you’ll need.
Looking For A Simpler Route?
However, there's an easier path forward. Foundation models, such as those by OpenAI, Cohere, and PaLM, provide APIs that even someone with moderate Python skills can start building with.
These models come pre-trained, eliminating the enormous costs and expertise previously mentioned. It's practically a plug-and-play method for generative AI development.
The Most Direct Path Of Them All
If you're seeking an even more streamlined approach, enter the world of no-code!
No-code platforms are revolutionizing the landscape. Even without in-depth coding or deep learning knowledge, these platforms provide an easy-to-use interface to build generative AI applications.
With respect to generative AI, no-code is all about making advanced AI technologies accessible and practical for everyone.
⏰ Don't Miss Today's Free Live Training: Building a NoCode AWS Bedrock LLM App on Flowise
Starting in just 5 hours, this training is your golden ticket to step into the future of No-Code generative AI app development.
Date / Time: TODAY, Oct 10 at 10 am PDT
Location: Sign-up here
Give us just 60 short minutes and you’ll witness and learn the intricacies of building NoCode AWS Bedrock LLM Apps on Flowise.
What you’ll get when you attend:
Witness cutting-edge integrations: Discover how the marriage between AWS Bedrock, Flowise AI, and SingleStoreDB is laying the groundwork for future of dynamic LLM applications.
Get hands-on training: Michael Connor, the eminent head of AWS Consumer Package Goods, will be delivering a live demo. Experience for yourself the magic of building LLM apps without any coding requirements! – all streamlined on SingleStoreDB.
Grow your data expertise: See the power of vector databases, learn the capabilities of AWS Bedrock, and get acquainted with Flowise AI's intuitive drag & drop tool. Elevate your skills and stay ahead in the AI landscape.
Times ‘a ticking! ⏰
The clock is ticking on this free live training invite. This is your chance to witness the next big thing in AI app development. Ensure you're at the forefront of this technological revolution.
Don't let this opportunity slip through your fingers. Get on board, learn from the experts, and embrace the future, today.
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