Leveraging Transfer Learning in Computer Vision for Quick Wins
Computer vision (CV) is a field where machines learn to “see” and understand images or videos.
Speculative Streaming: Fast LLM Inference Without Auxiliary Models
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) workshop at NeurIPS 2024. Speculative decoding is a prominent technique to speed up the inference of a large target language model based on predictions of an auxiliary draft model. While effective, in application-specific settings, it often involves fine-tuning both draft and target …
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Empower your generative AI application with a comprehensive custom observability solution
Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Evaluation, on the other hand, involves …
Gemini models are coming to GitHub Copilot
Today, we’re announcing that GitHub will make Gemini models – starting with Gemini 1.5 Pro – available to developers on its platform for the first time through a new partnership with Google Cloud. Developers value flexibility and control in choosing the best model suited to their needs — and this partnership shows that the next …
Study finds LLMs can identify their own mistakes
It turns out that LLMs encode quite a bit of knowledge about the truthfulness of their answers, even when they give the wrong one.Read More
Steve Bannon Is Out of Prison and Spreading Lies Online
Within hours of being freed from a low-security prison where he’d been serving time on contempt charges, the MAGA architect was rallying his troops on a Rumble stream.
A navigation system for microswimmers
By applying an electric field, the movement of microswimmers can be manipulated. Scientists describe the underlying physical principles by comparing experiments and theoretical modeling predictions. They are able to tune the direction and mode of motion through a microchannel between oscillation, wall adherence and centerline orientation, enabling different interactions with the environment.
Promoting Cross-Modal Representations to Improve Multimodal Foundation Models for Physiological Signals
Many healthcare applications are inherently multimodal, involving several physiological signals. As sensors for these signals become more common, improving machine learning methods for multimodal healthcare data is crucial. Pretraining foundation models is a promising avenue for success. However, methods for developing foundation models in healthcare are still in early exploration and it is unclear which …
Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas
In the modern, cloud-centric business landscape, data is often scattered across numerous clouds and on-site systems. This fragmentation can complicate efforts by organizations to consolidate and analyze data for their machine learning (ML) initiatives. This post presents an architectural approach to extract data from different cloud environments, such as Google Cloud Platform (GCP) BigQuery, without …
‘India Should Manufacture Its Own AI,’ Declares NVIDIA CEO
Artificial intelligence will be the driving force behind India’s digital transformation, fueling innovation, economic growth, and global leadership, NVIDIA founder and CEO Jensen Huang said Thursday at NVIDIA’s AI Summit in Mumbai. Addressing a crowd of entrepreneurs, developers, academics and business leaders, Huang positioned AI as the cornerstone of the country’s future. India has an …
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