Google DeepMind, in collaboration with Isomorphic Labs, announces AlphaFold 3, a groundbreaking AI model for predicting the structure and interactions of all life’s molecules. This development has immense implications for biology and showcases state-of-the-art accuracy in modeling proteins, DNA, and RNA.
- Google DeepMind and Isomorphic Labs unveil AlphaFold 3 AI model for predicting molecular structures
- AlphaFold 3 offers state-of-the-art accuracy in modeling proteins, DNA, and RNA interactions
- The collaboration between Google DeepMind and Isomorphic Labs marks a significant advancement in biological research
- Announcement showcases the potential of AI in revolutionizing the understanding of complex dynamical systems in biology
ICLR 2024 saw groundbreaking research on image and language models with papers receiving Honorable Mentions and Outstanding Paper Awards. Mila researchers excelled in intractable inference in language models. Sayak Paul highlighted collaborations and achievements in vision transformers and robustness. Yuki showcased a paper on learning image encoders from video, recognized with an Honorable Mention. Check out the impactful work and accolades from the top voices in AI research.
- ICLR 2024 showcases cutting-edge research in image and language models
- Mila researchers receive Honorable Mention for their work on intractable inference
- Sayak Paul reflects on collaborations and achievements in vision transformers and robustness
- Yuki’s paper on learning image encoders from video receives Honorable Mention
Top voices in the AI community discuss the potential of LLMs in speeding up development, introducing new evaluation frameworks, and ensuring trustworthiness in applications. From advanced VSCode integrations to composing narrow capabilities, LLM adoption is reaching new heights in real business applications.
- LLMs offer promising features to accelerate development and iteration in AI applications
- New evaluation frameworks with VSCode integrations are being introduced by top experts like JJ Allaire
- Ensuring trustworthiness in LLM applications through careful task definition and composition of capabilities
- Real businesses are now building production software on top of LLMs, indicating a significant shift in AI development
Get insights from top voices in AI and language models like Percy Liang, Chandan Singh, and Luca Beurer-Kellner. From evaluating language models to controlled text generation, the discussions cover a wide range of topics. Don’t miss out on workshops and research updates!
- Insights from top voices like Percy Liang, Chandan Singh, and Luca Beurer-Kellner in AI and language models
- Discussions on evaluating language models, controlled text generation, and game theory in AI
- Exciting workshops and research updates in the field
Catch up on the latest happenings at ICLR 2024 with presentations, workshops, and discussions on AI and machine learning. Top voices like Jing Yu Koh, Thomas Scialom, and Ken Liu sharing their insights and research findings. Don’t miss out on the innovative work being showcased!
- ICLR 2024 is buzzing with exciting presentations and workshops on AI and machine learning
- Top voices like Jing Yu Koh, Thomas Scialom, and Ken Liu sharing their research findings
- Exciting discussions on data contamination, fairness of LoRA, and the impact of GPT-2 models
- SWE-bench benchmark testing models on real GitHub issues also making waves at the conference
Top voices in AI like elvis, Rohan Paul, and MONTREAL.AI discuss the groundbreaking xLSTM model, which enhances LSTM with exponential gating and new memory structures. It aims to scale LSTMs to billions of parameters, competing with State-of-the-Art LLMs.
- xLSTM enhances LSTMs with exponential gating and new memory structures.
- Key technique includes sLSTM with scalar memory and update.
- xLSTM aims to compete with top LLMs like FlashAttention and Mamba.
- Authors Beck et al. published the xLSTM paper on arXiv (https://arxiv.org/abs/2405.04517).
- Top voices like elvis, Rohan Paul, and MONTREAL.AI are discussing the impact of xLSTM in AI research.
Join top voices in #AI like Weights & Biases, Sebastian Raschka, and Hamel Husain for webinars, courses, and books on Large Language Models (LLMs) development and fine-tuning. From building LLMs from scratch to evaluating them for agentic use cases, learn from experts in the field.
- Join Weights & Biases webinar with @MSFTReactor and @ash0ts to boost your business with LLMs: https://aka.ms/WB-LLMs-MayX
- Attend ACM TechTalk with @rasbt on June 5 to understand the LLM development cycle: https://bit.ly/3wpzlpH
- Explore building LLMs from scratch with Sebastian Raschka’s new book: https://manning.com/books/build-a-large-language-model-from-scratch
- Hamel Husain to teach a course on LLM fine-tuning with guest speakers like Wing Lian and Zach Mueller
- Learn to finetune and evaluate LLMs for agentic use cases with Weights & Biases’ webinar featuring @ash0ts: https://wandb.ai/site/resources/events/llms-for-agentic-use-cases
Stay updated with the latest tech industry news – Nathan Lambert releases a new episode of The Retort AI Podcast, Weights & Biases discusses advancements in AI benchmarking with Percy Liang, Hamed Bahram dives into Next.js with Lee Robinson, and C3 Dev Festival announces John Romero’s talk on AI in games.
- Nathan Lambert’s new episode of The Retort AI Podcast is out now: https://share.transistor.fm/s/b67dd6ff
- Weights & Biases to discuss advancements in AI benchmarking with Percy Liang in the upcoming #GradientDissent episode
- Hamed Bahram to deep dive into Next.js with VP of product at Vercel, Lee Robinson
- John Romero, the legendary game designer, to talk on ‘What AI Can, Can’t & Shouldn’t Do for Games’ at C3 Dev Festival | Amsterdam
Experts like Rohan Paul and Bindu Reddy weigh in on the potential of infinite context in LLMs, with contrasting perspectives. While some believe in the power of long-context models, others question their practicality in real-world applications. Find out more in the latest discussions led by industry leaders. #LLMs #InfiniteContext #LongContextModels
- Debate brewing over the feasibility of infinite context in LLMs
- Rohan Paul highlights the benefits of long-context models in achieving high performance
- Bindu Reddy raises concerns about the limitations of LLMs in handling extensive context inputs
- Insights from top voices like Carlos E. Perez and Ethan Mollick shed light on the ongoing discourse
Top voices in AI like Bindu Reddy, Sasha Luccioni, PhD, and Vincent Sitzmann are spearheading new initiatives in democratizing AI, AI art collections, and efficiency comparisons. SnowflakeDB is bringing AI innovation to the enterprise with #SnowflakeCortex. Explore these groundbreaking developments and collaborations now!
- Bindu Reddy launching initiative to democratize AI and unleash open-source power
- Sasha Luccioni, PhD working on Energy Star AI project for comparing AI model efficiency
- Vincent Sitzmann focused on building AI-enhanced tools for polished games
- SnowflakeDB introducing #SnowflakeCortex for AI innovation in enterprise
Top voices in the AI industry like Borriss, Alexandr Wang, and Steve Messina are making waves with their latest projects involving AI assistants. From senior employee-like AI assistants to generative workflows, these innovations are set to transform businesses and streamline operations. Learn more about their groundbreaking work!
- Top voices like Borriss, Alexandr Wang, and Steve Messina are shaping the future of AI assistant technology
- Innovations include AI assistants resembling senior employees and generative workflows for businesses
- Exciting developments in London, ROI-focused AI tools, and no-code AI solutions are driving the industry forward
Explore the cutting-edge courses, workshops, and tutorials on LLMs and machine learning tools offered by industry experts like DeepLearning.AI, Data Science Dojo, and LightningAI. Don’t miss out on the chance to enhance your skills and build innovative applications!
- Courses on LLMs and machine learning tools by top voices like DeepLearning.AI and Data Science Dojo
- Workshops and tutorials aimed at data scientists and software engineers
- Access to free GPUs and VSCode for working with LLMs
- Comprehensive curriculum at LLM Bootcamp for building chatbots and more
Top voices like Pau Labarta Bajo and Matt Rosoff provide insights into the latest tech industry developments, including Apple’s release of OpenELM, Wayve raising $1 billion for self-driving technology, and security concerns around Rabbit HMI’s consumer device.
- German banks urged to prioritize solving long-standing debt issues over focusing on crypto and AI innovations
- Microsoft rumored to be working on in-house model with 500 billion parameters
- Wayve secures $1 billion for self-driving technology, one of the biggest AI fundraises
- Apple introduces OpenELM models for small devices
- Concerns raised over Rabbit HMI consumer device’s security implications
Top voices in the data science community shared updates on Cohere’s RAG developments, generative feedback loops, and observability & ops at the recent DSPy meetup. The recorded session is now available for those who missed it.
- Top voices: Nathan Cooper, Weaviate • vector database, Tony Kipkemboi, Omar Khattab, Clint J., Chris, Erika Cardenas
- Highlights from DSPy meetup on Cohere’s RAG updates, generative feedback loops, and observability & ops
- Recorded session now available for viewing for those who missed the event
Alibaba’s new AI model claims to outperform OpenAI’s GPT-4 in language skills, sparking a debate in the AI community. Niels Rogge offers free alternatives stronger than GPT-3.5, while Rohan Paul notes the ramping up of activity at OpenAI.
- Alibaba’s AI model challenges OpenAI’s GPT-4 in language skills
- Niels Rogge provides free alternatives stronger than GPT-3.5
- Rohan Paul observes increased activity at OpenAI
Leading experts like Max Welling, CIFAR, and DAIR.AI are set to showcase groundbreaking research in AI and machine learning at ICLR 2024. From exploring traveling waves in neural computation to presenting cutting-edge projects like CURE and FOMO, the conference promises to be a hub of innovation and collaboration. Don’t miss out on the top ML papers of the week and exciting poster presentations on diffusion models.
- Max Welling and colleagues investigate traveling waves in neural computation
- CIFAR reflects on the impact of Daniel Dennett in the Brain, Mind & Consciousness program
- DAIR.AI highlights top ML papers of the week
- Elahe Arani’s lab presents CURE and FOMO at ICLR 2024
- Mauricio Delbracio to present InDI at ICLR, a paper on diffusion models
TechCrunch criticizes Apple’s latest iPad ad for depicting a tower of creative tools being crushed into the form of the iPad. Nordic AI Artificial Intelligence Institute counters with the idea that the ad flips AI-weary creatives the bird. Linus ●ᴗ● Ekenstam creates an edited version of the ad that gains over 250 million views.
- TechCrunch criticizes Apple’s latest iPad ad for missing the mark
- Nordic AI Artificial Intelligence Institute suggests the ad sends a message to AI-weary creatives
- Linus ●ᴗ● Ekenstam gains over 250 million views with an edited version of the ad
- Social media debate sparked over the controversial ad
Experts like Ethan Mollick and martin_casado discuss the current state of AI prompt support and adoption, highlighting the importance of guidance and access to frontier models. Matt Busigin predicts a short lifespan for current AI trends, while Tereza Tizkova emphasizes the need for AI products to be agnostic to customers’ existing tech stacks.
- AI experts debate the need for improved AI prompt support and adoption
- Matt Busigin predicts a short lifespan for current AI trends
- Tereza Tizkova highlights the importance of AI products being agnostic to customers’ existing tech stacks
DeepLearning.AI and LlamaIndex collaborate to offer free enrollment in a course for building a router for QA and summarization over a single doc, an agent reasoning loop, and an agent managing multiple documents. Marcus Schiesser introduces RAGapp for no-code RAG in enterprises. Santiago hosts a webinar comparing databases for RAG applications. Dataiku discusses strategies for overcoming limitations in RAG pipelines. LlamaIndex presents LlamaParse for building RAG over complex PDFs.
- Free enrollment for advanced RAG course with DeepLearning.AI and LlamaIndex
- Marcus Schiesser introduces RAGapp for no-code RAG in enterprises
- Santiago hosts webinar comparing databases for RAG applications
- Dataiku offers strategies for improving RAG pipelines
- LlamaIndex presents LlamaParse for building RAG over complex PDFs
Top voices on Twitter, including Glenn Gabe and Jeremy Howard, discuss the challenges OpenAI is facing with the release of their search product and controversial marketing tactics. From promises of priority placement to concerns about bias and financial consequences, the tech community is abuzz with debate.
- OpenAI’s search product release is seen as a double-edged sword by top voices on Twitter.
- Controversial marketing tactics, such as ‘priority placement’ and ‘richer brand expression’, raise eyebrows in the tech community.
- Members of the program receive priority placement and “richer brand” in chat conversations, sparking concerns about bias and ethics.
- If Google or OpenAI under-deliver, negative financial consequences could follow, according to Ethan Mollick.
- Join the conversation with top voices like Glenn Gabe, Jeremy Howard, and François Fleuret on Twitter.
Archer, an AI tutor, is guiding students to success in solving math problems involving fractions, proportions, ratios, and algebra. Teachers are seeing the benefit of using AI to enhance learning experiences. #EdTech #MathSuccess
- Archer AI tutor assists students with challenging math problems
- Students learn through mistakes and receive guidance from Archer
- AI tutor helps with fractions, proportions, ratios, and algebra problems
- Teachers appreciate AI technology for improving learning outcomes
AI4Prompts, a platform for AI artists, showcases new prompts from AIArtists like MCLUCAS and Anouk Inspiration. Sell your prompts and create stunning digital art. Explore the latest prompts for storybooks, minimal artwork collages, scrapbooking parchment, mockups, and more.
- AI4Prompts introduces new AI art prompts from top AIArtists like MCLUCAS and Anouk Inspiration
- Platform for AI artists to showcase and sell their prompts
- Latest prompts include storybooks, minimal artwork collages, scrapbooking parchment, mockups, and more
Check out Multiplatform.AI’s latest articles on navigating the competitive landscape in the Asian AI market, Nike’s AI-driven design transformation, Cisco’s strategic leap in AI leadership, global AI governance initiatives, and South Australia’s strategic investment in AI.
- Insights into Asian AI market competition with #AI and #Economics focus
- Nike leveraging #AI for athlete data and product design innovation
- Cisco’s aggressive #AIstrategy for cybersecurity and revenue growth
- Global collaboration between China and France in AI governance
- South Australia’s strategic investment in AI research for global competitiveness
Multiplatform.AI delves into the AnchorGT approach for enhancing scalability in Graph Transformer Models, focusing on computational efficiency and expressiveness. Learn how this method revolutionizes graph data processing in AI. #AI #MachineLearning #AnchorGT #transformers @MultiplatformAI https://multiplatform.ai/enhancing-scalability-the-anchorgt-approach-to-graph-transformer-models/
- Explore the AnchorGT approach for enhancing scalability in Graph Transformer Models
- Focus on computational efficiency and expressiveness in graph data processing
- Revolutionizing AI technology with attention mechanism and machine learning
- Learn about the impact of AnchorGT on artificial intelligence and scalability
Exciting new research on Kolmogorov-Arnold Networks (KAN) as a promising alternative to Multi-Layer Perceptrons (MLPs) for approximating nonlinear functions. The paper shows KANs outperform MLPs in fitting special functions and tackle catastrophic forgetting.
- Kolmogorov-Arnold Networks (KAN) are emerging as a powerful alternative to MLPs for nonlinear function approximation
- KANs achieve lower train/test loss with same parameters as MLPs
- Addressing catastrophic forgetting, a major challenge in machine learning
- Top voices like Rohan Paul and Towards Data Science discussing the potential of KANs in revolutionizing ML
Explore the latest advancements in language models with posts from AIQUEST, Neo4j, and Multiplatform.AI. From fine-tuning strategies to multi-token forecasting, learn how AI technology is revolutionizing language models.
- AI technology is revolutionizing language models with strategies for fine-tuning and multi-token forecasting
- Posts from AIQUEST, Neo4j, and Multiplatform.AI highlight advancements in language models
- Explore the benefits of efficient strategies and model assessment in AI technology
- Top voices like Machine Learning, Knut Jägersberg, and AI Papers are discussing the latest advancements in language models
Check out the latest prompts from AIArtist SHANDRA including stickers in palette knife oil paintings, gouache illustrations for kids storybooks, quirky stick figure characters, colorful rip n dip style illustrations, and 3D typography stickers for Mother’s Day. Sell your prompts @ AI4Prompts #aiart #midjourney #v6 #digitalart
- New Midjourney prompts released by AIArtist SHANDRA
- Prompts include stickers in palette knife oil paintings, gouache illustrations, stick figure characters, rip n dip style illustrations, and 3D typography stickers for Mother’s Day
- Sell your prompts at AI4Prompts and explore generative art trends
- Visit AI4Prompts.com for more information and to discover AI images
Multiplatform.AI introduces cutting-edge solutions like LLM Safety Leaderboard, Adaptive Threat Protection, and Generative AI API Security to enhance cybersecurity measures. Stay updated with the latest advancements in AI technology at #MultiplatformAI. Read more at https://multiplatform.ai/
- Multiplatform.AI reveals LLMjacking Scheme threat to cloud-hosted AI models
- Proofpoint sets new email security standards with Adaptive Threat Protection
- Enkrypt AI promotes secure adoption of Generative AI with LLM Safety Leaderboard
- Traceable AI announces Early Access Program for Generative AI API Security at RSA Conference 2024
- DLAP revolutionizes Software Vulnerability Detection with advanced AI framework
Top voices in machine learning, Ian Goodfellow, Steven Brunton, and CerboAI, discuss advancements in neural networks including control via adversarial examples, differentiable control blocks, activation functions, and option pricing. #AI #ML #NeuralNetworks
- Ian Goodfellow explores how adversaries can control neural networks via input
- Steven Brunton introduces differentiable neural network control blocks on CollimatorAI platform
- CerboAI delves into the basics of neural network neurons and activation functions
- Machine Learning highlights neural networks’ independence in error rates and learning of Black-Scholes equation for option pricing
Microsoft introduces LoftQ, a revolutionary tool for fine-tuning open source LLMs, enhancing adaptability and computation efficiency. Learn how LoftQ is transforming the LLM landscape with #AItechnology. Check out the article by Multiplatform.AI for more details.
- Microsoft unveils LoftQ, a game-changing tool for LLM fine-tuning
- Improved adaptability and computation efficiency in LLM models
- Revolutionizing the AI landscape with LoftQ from Microsoft
- Read more about LoftQ and its impact on LLM technology at the Multiplatform.AI article link
Top voices in the tech industry like Santiago, Nebius, and Leonie are discussing the impact of open source models. From recommendation models to ORMs, the community is buzzing with excitement. Check out the latest developments and contributions from leaders in the field.
- Santiago shares insights on setting up a recommendation model in a production application.
- Nebius highlights the open-sourced models in partnership with Unum Cloud available on Hugging Face.
- JSNation delves into the uniqueness of DrizzleORM in the JS world.
- Leonie’s article explores the competitive edge of open source models over closed source models.
Top voices in AI such as Santiago, Maziyar PANAHI, and Ethan Mollick are discussing the superior performance of Llama-3 models compared to GPT-4. Updates include benchmarks beating GPT-4 and fine-tuned Llama-3 models with improved quality. Excitement builds for the upcoming release of Llama 3 400b, expected to drive down costs.
- Llama-3 models outperform GPT-4 in various domains like longbook summarization and reasoning
- Maziyar PANAHI updates GGUF models for Llama-3-70B for improved quality
- Ethan Mollick highlights the upcoming release of Llama 3 400b, expected to decrease costs
- Llama 3 400b and GPT-4.5/5 releases anticipated to impact AI landscape
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