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Imagine this: you have built an AI app with an incredible idea, but it struggles to deliver because running large language models (LLMs) feels like trying to host a concert with a cassette player. This is where inference APIs for open LLMs come in. Groq groq Groq is renowned for its high-performance AIinference technology.
While AI has emerged as a powerful tool for materials discovery, the lack of publicly available data and open, pre-trained models has become a major bottleneck. The introduction of the OMat24 dataset and the corresponding models represents a significant leap forward in AI-assisted materials science.
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Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase InferenceEngine (Promoted) The post MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost appeared first on MarkTechPost.
With the release of LayerSkip, the research community now has access to a practical and effective tool for optimizing LLM inference, potentially paving the way for more accessible AI deployment in real-world applications. Check out the Paper , Model Series on Hugging Face , and GitHub. Don’t Forget to join our 50k+ ML SubReddit.
Modern AI models excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents unique hurdles. Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations.
Researchers from Stanford University, Together AI, California Institute of Technology, and MIT introduced LoLCATS (Low-rank Linear Conversion via Attention Transfer). LoLCATS is a two-step method designed to efficiently improve the quality of linearized large language models without the need for expensive retraining on billions of tokens.
Katanemo has open-sourced Arch-Function , making scalable agentic AI accessible to developers, data scientists, and enterprises. By open-sourcing this tool, Katanemo enables the global AI community to contribute and adopt its capabilities. All credit for this research goes to the researchers of this project.
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Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase InferenceEngine (Promoted) The post Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise appeared first on MarkTechPost.
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Researchers from Google Cloud AI, Google DeepMind, and the University of Washington have proposed a new approach called MODEL SWARMS , which utilizes swarm intelligence to adapt LLMs through collaborative search in the weight space. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.
In recent years, AI-driven workflows and automation have advanced remarkably. enabling developers to leverage the latest advancements in AI language models. Moreover, the OpenAI-compatible Assistants API and Python SDK offer flexibility in easily integrating these agents into broader AI solutions. Check out the GitHub.
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However, recent advancements in generative AI have opened up new possibilities for creating an infinite game experience. Researchers from Google and The University of North Carolina at Chapel Hill introduced UNBOUNDED, a generative infinite game designed to go beyond traditional, finite video game boundaries using AI.
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It may provide avenues for improving NLP applications, which would lead to inspiration for future developments in adaptive AI systems. Check out the Paper. All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.
Google AI Releases Gemma-APS, a collection of Gemma models for text-to-propositions segmentation. With this release, Google AI is hoping to make text segmentation more accessible, with models optimized to run on varied computational resources. If you like our work, you will love our newsletter.
The results are particularly concerning given the increasing reliance on synthetic data in large-scale AI systems. Although there are situations where increasing model size may slightly mitigate the collapse, it does not entirely prevent the problem. If you like our work, you will love our newsletter.
As AI technologies become globally pervasive, addressing the safety concerns that arise when models trained predominantly in English are deployed across various languages and cultural contexts is essential. To overcome these limitations, researchers from Cohere AI have introduced an innovative approach based on model merging.
AI is crucial in optimizing energy distribution, forecasting demand, and managing real-time interactions between vehicles and the microgrid. In conclusion, the proposed AI-based countermeasure utilizing GANs offers a promising approach to enhance the security of Mobile V2M services against adversarial attacks.
Multimodal AI models are powerful tools capable of both understanding and generating visual content. Researchers from DeepSeek-AI, the University of Hong Kong, and Peking University propose Janus, a novel autoregressive framework that unifies multimodal understanding and generation by employing two distinct visual encoding pathways.
A team of researchers from Tsinghua University and Zhipu AI introduced CogView3, an innovative approach to text-to-image generation that employs a technique called relay diffusion. The key problem is how to maintain or enhance image quality while significantly reducing these computational demands. Check out the Paper and Model Card.
In response, researchers from Salesforce AI Research introduced BLIP-3-Video, an advanced VLM specifically designed to address the inefficiencies in video processing. These models often need help to optimize token efficiency and video processing performance, necessitating more effective solutions to streamline token management.
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Anthropic AI’s latest innovation introduces features designed to overcome critical limitations in AI-human interactions. model to navigate, retrieve, and utilize information more effectively—bringing about a leap forward in AI’s interactivity. Anthropic AI introduces computer use, a new Claude 3.5
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ElevenLabs just introduced Voice Design, a new AI voice generation that allows you to generate a unique voice from a text prompt alone. When we look at the AI voice generator market, we will see many different AI tools offering exactly the same features. At the end, save the custom AI voice. ElevenLabs is not a newcomer.
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RLHF ensures that AI systems behave in ways aligned with human values. With AI systems growing in scale and complexity, researchers are exploring more efficient ways to improve model performance without relying solely on human input. While this method improves alignment, it can be inefficient.
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