Multiple studies highlight compiled languages as the most energy-efficient, with C consistently ranking highest. Rust often rivals or surpasses C in certain tasks, while C++ also typically secures a top spot. Ada and Go demonstrate notable energy efficiency as well. This performance is largely due to their low-level nature and direct system resource access. The efficiency gap between compiled and interpreted languages is significant; for instance, C can use up to 45 times less energy than Python for similar tasks.
I'm launching a course that enables non-developers to create their own software solutions using AI and a structured framework. Key points:
- Participants learn to develop web apps, mobile apps, or backend systems
- Choice of using AI or traditional coding approaches
- Deployment options include cloud or on-premises
- The framework is designed to put non-techies in the driver's seat of development
- First batch includes personal mentoring sessions
As software development becomes more accessible through natural language interfaces, this course aims to prepare individuals and businesses for this shift. It's designed to accelerate both corporate and entrepreneurial careers by reducing reliance on external consultancies.
I'm happy to answer any questions about the methodology or the potential impact of democratizing software development.
In this episode, explore carefully curated insights and viewpoints on:
- Reaching new heights in 3D object generation with Meshy
- What is the impact of AI in medicine? (It’s a measurable.)
- The Most Solution-Oriented GenAI Workshop There Is!
AND MORE!
I repeat myself when I say the future is dynamic and exciting. To underline this, I extensively reviewed research papers, corporate and startup strategies, as well as discussions with other experts to list some expected milestones in AI.
This is only the tip of the iceberg.
This time, again, I carefully curated the news, assessing signal vs. noise.
The content:
Anthropic Unveils Tool Use Capability for Claude 3, Enhancing AI Interactions
Google Genie Lets Users Generate AI Outputs Resembling Video Games
Meet Me at the Open Data Science Conference - East
Despite holidays worldwide, the pace of development keeps up.
- Novel Ways of Building Foundation Models by Sakana AI
- Google’s VLOGGER
- Mind-control (like sci-fi, but reality) by Neuralink
- Some Rumors cooking
Today's spotlight shines on Devin AI, a legit AI Software Engineer, an overview of the latest LLM releases, and the gist of the book Generative AI - Navigating the Course to the AGI Future!
Devin AI is especially interesting (not an ad) as we're stepping into a new era of AI development, folks.
Please look and let me know where you think software development is headed.
First off, a Newsflash that’s echoing more buzz than a hive of digital bees: Uncover IBM's smarty-chip ramping up AI speeds 22-fold, get acquainted with 'Woodpecker'—the savvy tool nixing AI hallucinations, and oh, stumble upon a neural network that’s mastering the art of human chatter. It's a peek into tomorrow, and it's headlining our latest news roundup.
Then, hear Berlin's tech-heartbeat? It’s pulsing with Generative AI mysteries ready to be unraveled in our hands-on workshop this November. It’s the playground where theory and practice have a future-forward rendezvous.
Lastly, dive into a personal narrative where optimism weds technology. Not quite a love letter to the future, but a hearty discourse on why techno-optimism is Martin’s, founder of GenerativeAI.net, middle name.
Ready to take a leap into tomorrow? The doorway to future’s tech banquet is wide open in this bite-sized edition of Generative AI - Short & Sweet.
P.S. Spy on the future with our spanking new online course and upcoming book—it’s Generative AI, with a splash of the present and a dash of the futuristic. Keep the curiosity alive!
Excited to announce that following our highly successful Generative AI Workshop held at the Machine Learning Week last June in Las Vegas, we are bringing the experience to Berlin -> Machine Learning Week Europe! This isn't just a brief workshop; it's a full-day immersion into the world of Generative AI, structured to promote collective learning, ideation, and hands-on building.
When? November 15 & 16, during the Machine Learning Week Europe 2023.
Where? Vienna House Andel's, Landsberger Allee 106, 10369 Berlin.
Here’s a glimpse of what you’ll gain:
- In-depth understanding of Generative AI technologies and the opportunity to work hands-on with state-of-the-art tools.
- Insight into Autonomous AI Agents and how they will be part of our everyday lifes, ethical and societal implications, and even the trajectory towards Artificial General Intelligence (AGI).
- Tangible skills that will propel you to become a tenfold more effective person.
This bootcamp-style day is tailored for those keen on transitioning from theoretical knowledge to actionable insight, surrounded by a community of like-minded enthusiasts.
I warmly invite you to join us in this collaborative endeavor. It's not just about today; it's about gearing up for tomorrow.
Reserve Your Spot Now: Take advantage of a discount by using the code: hms15musiol
Let’s dive deep into the realms of Generative AI, gear up with essential future skills, and work together to construct a tech-savvy community!
P.S.: Many attendees value getting my input and guidance on their AI projects, roadmaps, and strategies throughout the day. ;)
I speak about Generative AI, Autonomous AI Agents, and AGI, since 2017. Where I had my first conference talk about Generative AI. (For long time I was convinced that I am the person who coined the term, but that was a false alarm.)
As my speaking gigs gained significant traction, I have now a speaking agency.
However I am not sure what the advantages of this are. Do you have experience with an agent?
It's often challenging to discern which breakthroughs will leave lasting impressions and which may fade away as quickly as they arrive. With that in mind, I allowed the concept of Autonomous Agents to simmer for a couple of weeks before writing about it.
And now, it's crystal clear: these self-governing entities, i.e. AutoGPT, are here to stay, poised to reshape our world in unimaginable ways. While the precise nature of their impact remains nebulous, I invite you to join me in exploring the potential of this groundbreaking technology.
At GenerativeAI.net, we delve into the heart of this cutting-edge domain, conducting research, experimenting with possibilities, engaging in stimulating discussions and imparting knowledge. This May, I will be talking about Autonomous Agents at the Generative AI Summit – agents that owe their very existence to the power of generative AI. If you're attending, please drop by and say hello!
### Begin
Generative AI - Short & Sweet 08
“We (humans) are very bad judges of the impossible.”
- DeepMind.
The GAI topic of the week is ..
AlphaFold by Google DeepMind (GDM). A model that accurately generates complex 3-dimensional protein structures with correct folding from a 1-dimensional string input only. The impact this model has on research & development in all kinds of areas is unparalleled.
For visual learners, these are AlphaFold’s results of generated proteins measured against experimental results: highly accurate.
Remarkable milestones
Leading to GDM’s AlphaFold and its wide success, there are a couple of milestones worth mentioning. Disclaimer: there are many more important events that happened, but I try to stick to the newsletter’s title, which I am already bad at.
1996 - Deep Blue by IBM literally a tower computer won against Garri Kasparov the long-time world champion in chess [1].
Number of possible moves in chess: 10^120 (a one with 120 zeros) aka the Shannon number.
2016 - AlphaGo by GDM won in a series of Go matches against the former world champion Lee Sedol. Go is a complex Chinese board game with a 19x19 grid [2].
Number of possible moves in Go: 10^172 and, comparatively if not heard yet, there are 10^82 atoms in the universe.
2019 - AlphaStar by GDM reached the grandmaster status in StarCraft II. StarCraft II is one of the most challenging real-time strategy games. It has an unlimited number of moves [3].
2020 - AlphaFold 2 by GDM scored above 90 for proteins in CASP's global distance test, the Olympics of protein folding. This is a test that measures the degree to which a predicted structure is similar to the determined structure in lab experiments, with 100 being a complete match. With a score of 90, this problem is considered solved [4]. With this result, AlphaFold is around 3 times better than previous solutions.
The last one is especially interesting because everything in a prediction of protein folding has to be exactly right. Nature is much less forgiving than a game where perhaps not every move has to be executed perfectly.
AlphaFold’s gift to humanity
Usually, it goes like this: a company solves a problem and - rightfully so - monetizes it. The harder the problem solved, the higher the price. Especially, when there is demand. .... Continue on newsletter page.
Almost a month ago we kicked-off our newsletter on generativeai.net, which is our webpage where we advertise our online course on the same topic.
Topic:
Generative AI - the generative side of artificial intelligence with huge leaps these days, e.g. DALLE-2, Midjourney, Bloom, GPT-3 etc. All around AI models that are able to generate data with great quality, and other breakthroughs.
What our newsletter is about:
We are breaking down complex relationships into bite-sized, well-explained info as well as provide an optimistic, motivational outlook on how this tech could be utilised on the product-side of things, suggesting potential business ideas. As we aim to provide sophisticated content, prior to releasing an episode we discuss it with a few subject matter experts that we know.
Open questions to us:
And this is exactly the point - only with a few SMEs. We believe that there is so much more of information and knowledge in our (~1000 data scientists) community that it's a pity not channeling the knowledge and feeding off each others ideas.
How could we increase interactivity within this newsletter, fostering an idea powerhouse?
Do you know about best practices to get the most out of it?
Your feedback and thoughts would be very valuable to us, and we appreciate your time thinking about it.
BR,
MM
P.S.: One idea we had was to form a Facebook group and have questions there. However I know that a) many of the subscribers don't use FB much and b) I am afraid of losing valuable subscribers along the platform transition.
Yes, yes, yes!
After more than a year (no joke) of dedicated work, I dare to officially announce that we have released the online course about generative AI.
Actually, we released it already 4 months ago - under the radar, sort of speak.
Aiming for a high-quality online course, it was important for us to incorporate the feedback of the first 150 students before we go on the big stage of LinkedIn.
This is the course’s link: https://www.udemy.com/course/generative-ai/?referralCode=6A16021D86142A4EAB93
What is the course about?
- Generative Artificial Intelligence - the field of AI that generates data.
Why generative AI?
To just name a few reasons:
- Generate all kinds of data (eg. Images, videos, 3d images, time series, etc.)
- Augment datasets to potentially improve machine learning performances
- Stay up-to-date with AI trends (Generative AI is one of the 12 most relevant tech trends according to Gartner)
Lastly, I’d be really grateful if you could assist me and spread the word. Every share, comment, and like helps us tremendously. (The LinkedIn-Algo penalises external links.)
I promise, we keep updating the course to stay relevant to our students.
Whenever I click on an image in the lower left corner it compiles the kittens. This shouldn't be like this, right? The NN is supposed to take example I'm choosing. (?)
And, as everyone else mentioned already: f*ing wow!