Revolutionizing Code: How Generative Models Are Transforming Programming
In an era where programming meets artificial intelligence, developers are discovering the immense potential of generative models. David Crawshaw shares his journey of integrating Large Language Models...
https://news.lavx.hu/article/revolutionizing-code-how-generative-models-are-transforming-programming
Revolutionizing Code: How Generative Models Are Transforming Programming
In an era where programming meets artificial intelligence, developers are discovering the immense potential of generative models. David Crawshaw shares his journey of integrating Large Language Models...
https://news.lavx.hu/article/revolutionizing-code-how-generative-models-are-transforming-programming
Do you want to apply deep learning-based methods to your own data and image analysis problems? Then #EMBLDeepLearning is for you!
Apply by 25 November 2024 
https://s.embl.org/mac25-01
17 – 21 February 2025
EMBL Heidelberg
Prerequisites for this workshop are programming experience in Python, including solid knowledge of operations with images, and first experience of applying deep learning algorithms.
I was waiting for this point:
New research paper explores the risk of generative models creating "Model Autophagy Disorder" (MAD) when training on their own synthetic data. Without fresh real data, future models may see a decline in quality and diversity, leading to amplified artifacts. Read the full study for insights on how to mitigate these effects. #AI #MachineLearning #GenerativeModels #DataScience #Research #Tech
Link to the paper: https://arxiv.org/pdf/2307.01850
Generative AI for databases
This new tool offers an easier way for people to analyze complex tabular data
* easy-to-use tool enables complicated statistical analyses on tabular data using just a few keystrokes
* combines probabilistic AI models w. programming language SQL
* provides faster/more accurate results
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables
https://dl.acm.org/doi/10.1145/3656409
Regarding that space of people that seem to seriously think that #generativeModels are coming for software developers in a big way… what do you think happens when the model bugs in the work? You don’t have software developers who spend the time architecting the system and understanding its behavior.
Companies using these „AI“ tools will be sitting there bleeding money while the human developers get started on even understanding the design in the first place.
#Modelling #animal #network data in #R using #STRAND
#OpenAccess
#JournalAnimalEcology
"the STRAND R package provides a suite of #GenerativeModels for #Bayesian analysis of animal social network data that can be implemented using simple R syntax. A #tutorial demonstrates how STRAND can be used to model #proportion, #count or #binary network data using #StochasticBlockModels and/or #SocialRelationModels"
https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/1365-2656.14021
Making the internet more hostile to human lives through #algorithms, #metrics and #generativeModels should be treated as an attack upon human rights and be responded to as such.
I'm excited to see recent developments with LLMs may provide effective modeling of our aggregate values (multi-level, fine-grained), increasingly coherent over increasing context of meaning.
LLMs such as ChatGPT and Gemini already impress us with their ability to produce coherent (but not necessarily correct) abstractions from massive collections of data relevant to our interests.
Now, what if we run multiple instances of LLMs with diverse priors, collaboratively (at lower levels adversarial, at higher levels cooperative) selecting for increasing coherence over increasing context in the domain of present but evolving values?
Of the two orthogonal dimensions producing the expanding space of moral (right in principle) agency —our values, and our methods for their promotion — we already have much attention on our evolving methods (science, technology) and it appears we are on the cusp of rapid development of an effective model of our evolving values!
Cause for (Promethean) hope!
Research remains to be performed on theoretical and practical questions involving expected signal-to-noise improvements of "synthetic data" extracted from latent information in our datasets, regression due to synthetic data added to the data set, biases, gaming of the system, and on and on… Interesting, exciting, and dangerous.
We should introduce the securities that #UBI is supposed to give people, for many reasons.
But not because #generativeModels "#AI" is capable of replacing people. That‘s buying into destructive #critihype about the capabilities of the technology.
GenMods *cannot* replace people to the same quality, and they‘re giant tools to plaster shut the human creative sharing space with so much useless signal it drowns out human creativity.
started from @bobdoto
https://pkm.social/@bobdoto/111905286616083031
We do a lot of creative and interesting work here at @desy, including using #machinelearning #generativemodels to make particle collision simulations. Here's doctoral student Moritz Scham explaining his work on #DeepTreeGAN, essentially a "#DALL-E for #particles" - check out more on group's instagram: https://www.instagram.com/p/C12MbLtArUA/
Bayesian Flow Networks
Alex Graves (https://en.wikipedia.org/wiki/Alex_Graves_(computer_scientist)) et al.
https://arxiv.org/abs/2308.07037
reddit/ML: https://old.reddit.com/r/MachineLearning/comments/15rrljw/bayesian_flow_networks
* parameters of indep. distributions modified w. Bayesian inference in light of noisy data, passed as input to NN that output 2nd, interdependent distribution
* generative procedure similar to reverse process of diffusion models h/e no forward process req'd
Exciting news! AWS announces Amazon Bedrock, a new service to easily build and scale generative AI-based applications for text and images using AWS tools and capabilities. Private customization with your own data, integrations with Amazon SageMaker ML features, and no infrastructure management required. Bedrock is now in preview #AWS #Bedrock #AI #GenerativeModels #CustomAI
https://aws.amazon.com/it/blogs/machine-learning/announcing-new-tools-for-building-with-generative-ai-on-aws/
The same day Google launched a preview off its AI Chatbot, rival Microsoft has added an AI Image Creator to its Bing Chatbot. Now you can ask Bing questions and get written or visual responses powered by OpenAI's GPT-4 and DALL∙E. https://blogs.microsoft.com/blog/2023/03/21/create-images-with-your-words-bing-image-creator-comes-to-the-new-bing/
Job posting: We have PhD and Postdoc positions for generative machine learning in particle physics and astronomy. Come and build better simulations with me and Marcus @HambObs
Full details and more information here: https://inspirehep.net/jobs/2635409
@swatantra You may be teaching average coding practices and patterns if you use #chatgpt to give you ideas for your code examples. It's just giving you the most likely lines of code from what it found on GitHub. And it may have insidious bugs (undetected errors on edge cases). You'd rather your students learn patterns that were intentionally designed and chosen from a collection of best practices and patterns.
21. Türchen
Am Sonntag ging es um generative Sprachmodelle; heute schauen wir uns KI-Methoden zur Generierung von Bildern an.
Auch dieser Bereich hat in den letzten Wochen und Monaten einen regelrechten Hype erlebt. Hand auf’s Herz, wer hat schon 6,99€ bezahlt um von Lensa AI 50 “Magic Avatars” von sich in verschiedenen artistischen Stilen generieren zu lassen?
We are organizing an exciting workshop on the intersection of deep generative modelling and neurosymbolic learning at #ICLR2023 
!
The call for papers is out now: https://nesygems.github.io/callforpapers/
Submission deadline: 3rd of February 2023
18. Türchen
Eine KI, die wissenschaftliche Artikel schreibt? Zu schön um wahr zu sein...
Habt ihr im November den kurzen Hype zu Metas neuem KI-Sprachmodell „Galactica“ (https://www.galactica.org) mitbekommen? Es hat nur drei Tage gedauert, bis Meta die Demoversion wieder offline genommen hat, da die Kritik zu groß wurde. Doch was war passiert?
Interested in actually synthesizing your generative AI protein library at very, very (10^14) large scale? Hit me up! #biotech #generativemodels #generativeai #protein #syntheticbiology #largelibraries #antibodies #proteinengineering #antibody
