The hottest AI Research Substack posts right now

And their main takeaways
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A Comprehensive Survey of Large Language Models (LLMs)

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 13 Dec 23
đź•ą Technology AI Research Language Models Natural Language Processing Machine Learning Open Source
  1. The number of research papers on large language models (LLMs) has surged significantly, rising from about one per day to nearly nine since 2019. This shows a growing interest in understanding these models.
  2. Three important skills of LLMs are in-context learning, following instructions, and step-by-step reasoning. These abilities help models perform better on various tasks.
  3. Open-source LLMs, like Meta's LLaMA, have made it easier for researchers to customize and grow these models, leading to more innovation in the field.

[in case you missed it] Data Science Weekly - Issue 365

Data Science Weekly Newsletter • 0 implied HN points • 22 Nov 20
đź•ą Technology Data science Machine Learning AI Research Software Development Programming
  1. There's a new newsletter called The Batch that shares important AI events and insights. It's easy to read and aimed at both engineers and business leaders.
  2. Dynamic data testing is different from software testing. It requires tests that can adapt to how data changes over time.
  3. Isolation Forest is currently a top choice for detecting anomalies in big data, thanks to its simplicity and effectiveness.

[in case you missed it] Data Science Weekly - Issue 330

Data Science Weekly Newsletter • 0 implied HN points • 23 Mar 20
đź•ą Technology Data science Machine Learning AI Research Epidemiology Health Technology
  1. The spread of diseases like COVID-19 can become very rapid if not controlled properly. Understanding how infections spread helps us take the right actions.
  2. There are tools and models that can help track COVID-19 cases in real time, which is important for managing outbreaks effectively.
  3. New techniques in data science, like reinforcement learning and efficient neural networks, are enhancing how we analyze and work with data in various fields.

Generative A-Eye #17 - 15th Oct,2024

Martin’s Newsletter • 0 implied HN points • 15 Oct 24
đź•ą Technology AI Research Image Synthesis Computer Vision Animation
  1. New tools are being developed to improve how we create and animate 3D characters. These tools help generate human-like movements based on stories or plots.
  2. There are advancements in high-resolution image generation that can produce high-quality images quickly, even on standard laptops. This makes it easier to create detailed visuals without expensive equipment.
  3. Researchers are exploring ways to combine language with video, allowing users to find and interact with events in videos using simple text prompts. This could make video editing and creation more intuitive.

Generative A-Eye #15 - 10th Oct,2024

Martin’s Newsletter • 0 implied HN points • 10 Oct 24
đź•ą Technology AI Research Image Synthesis Machine Learning Neural Networks Digital innovation
  1. Using JPEG compression can actually improve the training of neural networks. It helps the models perform better and resist attacks.
  2. MimicTalk allows for creating 3D talking faces quickly, adapting to different identities in just 15 minutes. This makes it much faster than older methods.
  3. Adobe has developed a model for removing shadows from portraits, aiming for a more natural look. It rebuilds human appearance using advanced techniques.
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Generative A-Eye #13 - 7th Oct,2024

Martin’s Newsletter • 0 implied HN points • 07 Oct 24
đź•ą Technology AI Research Image Synthesis Data Privacy
  1. Diffusion models can be tricky because it’s hard to pull out the exact images they were trained on. A new study claims they can reconstruct a portion of that data, which could be important for legal issues.
  2. Researchers have developed a non-invasive way to estimate body weight using 3D imaging. This could really help in emergencies when weighing patients is difficult.
  3. A new tool called ScriptViz helps writers by providing visuals from a large movie database based on their scripts. This can improve their creative process by giving them diverse visual ideas.

Generative A-Eye #10 - 1st Oct,2024

Martin’s Newsletter • 0 implied HN points • 01 Oct 24
đź•ą Technology AI Research Image Synthesis Video Processing Machine Learning Computer Vision
  1. There are some new methods in AI for creating realistic videos of people, which focus on tricky aspects like how loose clothes move.
  2. A new technique in recognizing facial expressions shows better results, improving understanding of how people express emotions.
  3. Some AI projects are working on improving how we replace or animate people in videos, aiming for more realistic and believable results.

Generative A-Eye #7 - 24th Sept,2024

Martin’s Newsletter • 0 implied HN points • 24 Sep 24
đź•ą Technology AI Research Image Synthesis Deep Learning Video Generation
  1. New AI methods are improving the reconstruction of humans in loose clothing from videos. This makes it possible to create realistic 3D models even when outfits move and change shape a lot.
  2. A project called MIMAFace is focused on creating realistic facial animations using a mix of motion and identity features. It helps in generating video animations that look smooth and consistent.
  3. Hair modeling in 3D graphics is getting better with new techniques like using Gaussian splatting. This approach allows for accurate and realistic representations of hairstyles in visual media.

Generative A-Eye #4 - 19th Sept,2024

Martin’s Newsletter • 0 implied HN points • 19 Sep 24
đź•ą Technology AI Research Image Synthesis Data science Computer Vision Machine Learning
  1. A new method called GaussianHeads can create realistic and dynamic 3D models of human heads using video inputs. This helps capture facial expressions and head movements in real-time.
  2. The research uses a system that combines CGI techniques to enhance the quality of deepfake and human avatar production. It aims to improve how we animate faces based on video footage.
  3. Another interesting paper evaluated AI models by collecting 2 million votes to gauge their effectiveness. This shows the growing need for thorough testing in AI development.

Generative A-Eye #2 - 17th Sept,2024

Martin’s Newsletter • 0 implied HN points • 17 Sep 24
đź•ą Technology AI Research Image Synthesis Facial Recognition Computer Vision Data Analysis
  1. The best day for submitting new AI research papers tends to be Tuesday. This timing is likely chosen to catch attention after the weekend.
  2. This year has seen fewer exciting advancements in AI-based human synthesis, with technologies being reused rather than creating entirely new concepts.
  3. New research is focusing on better facial expression recognition and human reconstruction from single images, showing promise in areas like understanding micro-emotions.

Open LLMs: Transparency or 'Openwashing'?

philsiarri • 0 implied HN points • 03 Dec 24
đź•ą Technology AI Research Software Development Data Access Open Source Machine Learning
  1. Just sharing the source code for large language models (LLMs) doesn't make them truly open. Access to the training data is still needed for real transparency.
  2. Many LLMs limit users by only allowing access to APIs instead of the full model. This practice is being called 'openwashing', where companies give a false impression of openness.
  3. Users often struggle to re-use or adapt the shared code due to how it's written and lack of resources. True openness includes access to hardware, datasets, and original training data.