Is there life on Mars? With advanced imaging techniques and machine learning algorithms, we could be closer than ever to discovering extraterrestrial life. Learn more about this groundbreaking research here: https://
bit.ly/3z7eepW @NASA @SETIInstitute @alkalait @UniofOxford
MACHINE LEARNING
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Machine Learning and Imaging Detect Extraterrestrial Life on Mars
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Databricks Releases Dolly, an Open Source Instruction-Following AI Model
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Dolly from @databricks
, a new open source instruction-following model, tuning GPT-J-6B on Alpaca data for 30 minutes on a single machine: https://
databricks.com/blog/2023/03/2
4/hello-dolly-democratizing-magic-chatgpt-open-models.html
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RLHF Trade-offs: In-Context Learning vs. Prompting Ease in LLMs
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RLHF sacrifices in-context learning for ease of prompting. Model is more capable in an informal, less quantifiable sense. Some contrived tasks are nearly impossible without tuning though e.g. summarizing text that’s close in length to the size of the context window.
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AI Models and the Challenge of Original Ideas
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yes the model can design and order diamondoid bacteria but it’s just plagiarizing the training set it will never have original ideas of that caliber there will always be demand for hu
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NAS and Transformer Architecture Search Space Subtleties
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Yes, I totally agree that the fact that the proxy task was Transformer(base) is quite subtle in So et al. (just that one sentence). NAS is generally a once-per-search-space/problem-type (sort of like human researchers coming up with a new model architecture, just automated).
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Robotics Labs Explore Spatial Transformers and Diffusion Policies Post-ChatGPT4
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There are many robotics labs exploring spatial transformers and even diffusion policies for learning from such demonstrations. Dimensionality & substantial uncertainty in state/control make robotics much harder than language or images but I’m much more optimistic post #ChatGPT4 https://
x.com/aibreakfast/st
atus/1639269771148509184
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Meta’s Efficient AI Development Ecosystems for Production
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AI development ecosystems are increasingly complex and challenging to maintain. Companies like Meta need to develop highly efficient systems to build, serve and improve AI models for production uses. Here's how we make this work effective + efficient
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Comprehensive Survey of AI-Generated Content from GAN to ChatGPT
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A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT A great survey that provides a comprehensive overview of generative models, common models(unimodals, multimodals), and recent advances in generative AI. https://
arxiv.org/pdf/2303.04226
.pdf
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ChatGPT connected to Internet: major update and video test
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OFFICIAL! #ChatGPT is connected to the Internet Major update that will change everything. Analysis and test in my latest video → https://
youtu.be/jIBpsJGgE-Q #GPT4 #OpenAI #OpenAIChatGPT #ArtificialIntelligence -
Groq Compiler Virtual Event: Software-Hardware Co-Design Presentation
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Join us for a 30-minute virtual event, featuring a presentation and live Q&A about Groq™ Compiler and our software-hardware co-design approach. https://
groq.link/slcompiler
#AI #ML #mlops #softwaredeveloper