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The Adevinta team spent the last six months building an LLM-powered search tool [4] for their French marketplace. They've summarized their learnings into a new blog post that covers:
Apple is currently exploring partnerships with various AI providers, including OpenAI and Google, to integrate generative AI technologies into the upcoming iOS 18.
Cohere launched a new developer toolkit to make enterprise AI application building faster and simpler across any cloud provider so developers can deploy in production at scale. With the Cohere Toolkit, developers have the source code to accelerate their development and quickly set up an application within just a few days.
Home Assistant has joined the Open Home Foundation, a non-profit aimed at countering Big Tech's influence by prioritizing privacy, choice, and sustainability in the smart home domain. The transition to a foundation-owned entity allows the platform to scale its consumer appeal while retaining its core open-source principles. Upcoming developments include direct-to-consumer sales on Amazon, certified partner expansions, local voice control hardware, AI integration with Nvidia, and user interface improvements for broader home approval.
This paper shows that chain-of-thought (CoT) thinking can be obfuscated with ‘...' tokens. This requires training the model but shows that interpreting the CoT steps may not be possible and thinking can be hidden by the model.
Researchers have introduced a new model called PLLaVA, which stands out by adapting image-language AI models for video tasks using a unique pooling strategy.
TrackGPT integrates Large Vision-Language Model capabilities to transform object tracking. It understands implicit instructions for tracking, streamlining the process and enhancing performance, as shown in its impressive results on the new InsTrack benchmark and other challenging datasets.
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Orca's recent announcements offer a glimpse into the future of AI and security. On the one hand, Orca is offering organizations tools to protect AI deployments using AI Security Posture Management (AI-SPM) [11]; at the same time, it is incorporating genAI-powered features [12] into its own cloud security platform.
A fast deep learning framework built with speed and simplicity in mind.
Pretraining framework for Llama models from Meta written entirely in PyTorch.
OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool designed to make the integration process of observability into GenAI projects possible with just a single line of code.
Llamafiles are self-contained executables that run models directly on any platform. It boasts a 2x speed up and substantial improvements to portability.
FrugalGPT is a set of actions you can take to dramatically reduce LLM API costs. They include prompt compression, caching, and more.
Researchers have developed a new method called AAPL that enhances the ability of AI models so that they can recognize unseen objects by using adversarial token embedding.
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In this hands-on workshop, you'll learn how to build your own LoRA Land (Mistral-7B models that rival GPT-4) with Predibase and popular open-source LLM frameworks, Ludwig and LoRAX - for free! Join the live
AI town is a simulator of human interactions that can run entirely locally.
The U.S. Department of Homeland Security has formed the Artificial Intelligence Safety and Security Board, which features leaders from major tech companies and various sectors, to advise on AI issues including national security and infrastructure, with quarterly meetings starting in May.
Create personalized flashcards from any text or file using AI.