Editors Pick

Agentic AI Editors Pick

Model Context Protocol (MCP) vs Function Calling vs OpenAPI Tools — When to Use Each?
ByRicardo October 8, 2025October 8, 2025

Table of contents Comparison Table Strengths and Limits Security and Governance Ecosystem Signals (Portability/Adoption) Decision Rules (When to Use Which) References: MCP (Model Context Protocol): Open, transport-agnostic protocol that standardizes discovery and invocation of instruments/assets throughout hosts and servers. Best for moveable, multi-tool, multi-runtime methods. Function Calling: Vendor characteristic the place the mannequin selects a…

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Artificial Intelligence Editors Pick

StreamTensor: A PyTorch-to-Accelerator Compiler that Streams LLM Intermediates Across FPGA Dataflows
ByRicardo October 6, 2025

Why deal with LLM inference as batched kernels to DRAM when a dataflow compiler can pipe tiles via on-chip FIFOs and stream converters?StreamTensor is a compiler that lowers PyTorch LLM graphs (GPT-2, Llama, Qwen, Gemma) into stream-scheduled dataflow accelerators on AMD’s Alveo U55C FPGA. The system introduces an iterative tensor (“itensor”) kind to encode tile/order…

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Agentic AI Editors Pick

AWS Open-Sources an MCP Server for Bedrock AgentCore to Streamline AI Agent Development
ByRicardo October 4, 2025

AWS launched an open-source Model Context Protocol (MCP) server for Amazon Bedrock AgentCore, offering a direct path from natural-language prompts in agentic IDEs to deployable brokers on AgentCore Runtime. The package deal ships with automated transformations, atmosphere provisioning, and Gateway/tooling hooks designed to compress typical multi-step integration work into conversational instructions. So, what precisely is…

Read More AWS Open-Sources an MCP Server for Bedrock AgentCore to Streamline AI Agent Development
Artificial Intelligence Editors Pick

How to Build an Advanced Voice AI Pipeline with WhisperX for Transcription, Alignment, Analysis, and Export?
ByRicardo October 3, 2025

In this tutorial, we stroll by way of an superior implementation of WhisperX, the place we discover transcription, alignment, and word-level timestamps intimately. We arrange the surroundings, load and preprocess the audio, and then run the total pipeline, from transcription to alignment and evaluation, whereas guaranteeing reminiscence effectivity and supporting batch processing. Along the way…

Read More How to Build an Advanced Voice AI Pipeline with WhisperX for Transcription, Alignment, Analysis, and Export?
Agentic AI Editors Pick

The Role of Model Context Protocol (MCP) in Generative AI Security and Red Teaming
ByRicardo October 1, 2025

Table of contents Overview What MCP standardizes? Normative authorization controls Where MCP supports security engineering in practice ? Case study: the first malicious MCP server Using MCP to structure red-team exercises Implementation-Focused Security Hardening Checklist Governance alignment Current adoption you can test against Summary Resources used in the article Overview Model Context Protocol (MCP) is…

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Agentic AI Editors Pick

Delinea Released an MCP Server to Put Guardrails Around AI Agents Credential Access
ByRicardo September 30, 2025

Delinea launched an Model Context Protocol (MCP) server that permit AI-agent entry to credentials saved in Delinea Secret Server and the Delinea Platform. The server applies identification checks and coverage guidelines on each name, aiming to preserve long-lived secrets and techniques out of agent reminiscence whereas retaining full auditability What’s new for me? The GitHub…

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Artificial Intelligence Editors Pick

Meet oLLM: A Lightweight Python Library that brings 100K-Context LLM Inference to 8 GB Consumer GPUs via SSD Offload—No Quantization Required
ByRicardo September 29, 2025

oLLM is a light-weight Python library constructed on prime of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to quick native SSDs. The undertaking targets offline, single-GPU workloads and explicitly avoids quantization, utilizing FP16/BF16 weights with FlashAttention-2 and disk-backed KV caching to preserve VRAM inside 8–10…

Read More Meet oLLM: A Lightweight Python Library that brings 100K-Context LLM Inference to 8 GB Consumer GPUs via SSD Offload—No Quantization Required
Editors Pick Security

Ensuring AI Safety in Production: A Developer’s Guide to OpenAI’s Moderation and Safety Checks
ByRicardo September 29, 2025

When deploying AI into the true world, security isn’t non-compulsory—it’s important. OpenAI locations sturdy emphasis on making certain that purposes constructed on its fashions are safe, accountable, and aligned with coverage. This article explains how OpenAI evaluates security and what you are able to do to meet these requirements. Beyond technical efficiency, accountable AI deployment…

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Agentic AI Editors Pick

This AI Research Proposes an AI Agent Immune System for Adaptive Cybersecurity: 3.4× Faster Containment with <10% Overhead
ByRicardo September 28, 2025

Can your AI safety stack profile, motive, and neutralize a dwell safety risk in ~220 ms—and not using a central round-trip? A staff of researchers from Google and University of Arkansas at Little Rock define an agentic cybersecurity “immune system” constructed from light-weight, autonomous sidecar AI brokers colocated with workloads (Kubernetes pods, API gateways, edge…

Read More This AI Research Proposes an AI Agent Immune System for Adaptive Cybersecurity: 3.4× Faster Containment with <10% Overhead
Agentic AI Editors Pick

The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens
ByRicardo September 28, 2025September 28, 2025

Google launched an updated version of Gemini 2.5 Flash and Gemini 2.5 Flash-Lite preview models across AI Studio and Vertex AI, plus rolling aliases—gemini-flash-latest and gemini-flash-lite-latest—that all the time level to the latest preview in every household. For manufacturing stability, Google advises pinning mounted strings (gemini-2.5-flash, gemini-2.5-flash-lite). Google will give a two-week e-mail discover earlier…

Read More The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens

Editors Pick

Model Context Protocol (MCP) vs Function Calling vs OpenAPI Tools — When to Use Each?

StreamTensor: A PyTorch-to-Accelerator Compiler that Streams LLM Intermediates Across FPGA Dataflows

AWS Open-Sources an MCP Server for Bedrock AgentCore to Streamline AI Agent Development

How to Build an Advanced Voice AI Pipeline with WhisperX for Transcription, Alignment, Analysis, and Export?

The Role of Model Context Protocol (MCP) in Generative AI Security and Red Teaming

Delinea Released an MCP Server to Put Guardrails Around AI Agents Credential Access

Meet oLLM: A Lightweight Python Library that brings 100K-Context LLM Inference to 8 GB Consumer GPUs via SSD Offload—No Quantization Required

Ensuring AI Safety in Production: A Developer’s Guide to OpenAI’s Moderation and Safety Checks

This AI Research Proposes an AI Agent Immune System for Adaptive Cybersecurity: 3.4× Faster Containment with <10% Overhead

The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens

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