Tag: based models

  • Cisco Talos Blog: Using LLMs as a reverse engineering sidekick

    Source URL: https://blog.talosintelligence.com/using-llm-as-a-reverse-engineering-sidekick/ Source: Cisco Talos Blog Title: Using LLMs as a reverse engineering sidekick Feedly Summary: LLMs may serve as powerful assistants to malware analysts to streamline workflows, enhance efficiency, and provide actionable insights during malware analysis.  AI Summary and Description: Yes **Summary:** The text provides an in-depth analysis of using Large Language Models…

  • CSA: Cloud File Transfer: Most Secure Cloud Configuration

    Source URL: https://blog.axway.com/product-insights/managed-file-transfer/upgrade-with-cloud-mft Source: CSA Title: Cloud File Transfer: Most Secure Cloud Configuration Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the necessary transition from Managed File Transfer (MFT) solutions to cloud-native approaches, emphasizing the modernization driven by cloud adoption. It highlights the growing complexity of MFT, the benefits of cloud solutions,…

  • Cloud Blog: New GKE inference capabilities reduce costs, tail latency and increase throughput

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/understanding-new-gke-inference-capabilities/ Source: Cloud Blog Title: New GKE inference capabilities reduce costs, tail latency and increase throughput Feedly Summary: When it comes to AI, inference is where today’s generative AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing increasing adoption of gen AI inference. For example, customers like HubX run…

  • Cloud Blog: H4D VMs: Next-generation HPC-optimized VMs

    Source URL: https://cloud.google.com/blog/products/compute/new-h4d-vms-optimized-for-hpc/ Source: Cloud Blog Title: H4D VMs: Next-generation HPC-optimized VMs Feedly Summary: At Google Cloud Next, we introduced H4D VMs, our latest machine type for high performance computing (HPC). Building upon existing HPC offerings, H4D VMs are designed to address the evolving needs of demanding workloads in industries such as manufacturing, weather forecasting,…

  • Cloud Blog: Build gen AI agents using Google Cloud databases

    Source URL: https://cloud.google.com/blog/products/databases/learn-how-to-connect-agents-to-google-cloud-databases/ Source: Cloud Blog Title: Build gen AI agents using Google Cloud databases Feedly Summary: As enterprises build generative AI agents to strengthen their security posture or improve their customer experience, they need access to real-time data. Because most business critical and real-time data is stored and processed in databases, you need ways…

  • Hacker News: A Practical Guide to Running Local LLMs

    Source URL: https://spin.atomicobject.com/running-local-llms/ Source: Hacker News Title: A Practical Guide to Running Local LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the intricacies of running local large language models (LLMs), emphasizing their applications in privacy-critical situations and the potential benefits of various tools like Ollama and Llama.cpp. It provides insights…

  • Hacker News: MIT 6.S184: Introduction to Flow Matching and Diffusion Models

    Source URL: https://diffusion.csail.mit.edu Source: Hacker News Title: MIT 6.S184: Introduction to Flow Matching and Diffusion Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text presents an educational overview of the MIT course “Generative AI with Stochastic Differential Equations,” focusing on diffusion and flow-based models used in generative AI. The course teaches…

  • Hacker News: The Dino, the Llama, and the Whale (Deno and Jupyter for Local AI Experiments)

    Source URL: https://deno.com/blog/the-dino-llama-and-whale Source: Hacker News Title: The Dino, the Llama, and the Whale (Deno and Jupyter for Local AI Experiments) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the author’s journey in experimenting with a locally hosted large language model (LLM) using various tools such as Deno, Jupyter Notebook, and…