How an AI Agent Chooses What to Do Under Tokens, Latency, and Tool-Call Budget Constraints?MarkTechPost In this tutorial, we build a cost-aware planning agent that deliberately balances output quality against real-world constraints such as token usage, latency, and tool-call budgets. We design the agent to generate multiple candidate actions, estimate their expected costs and benefits, and then select an execution plan that maximizes value while staying within strict budgets. With
The post How an AI Agent Chooses What to Do Under Tokens, Latency, and Tool-Call Budget Constraints? appeared first on MarkTechPost.
In this tutorial, we build a cost-aware planning agent that deliberately balances output quality against real-world constraints such as token usage, latency, and tool-call budgets. We design the agent to generate multiple candidate actions, estimate their expected costs and benefits, and then select an execution plan that maximizes value while staying within strict budgets. With
The post How an AI Agent Chooses What to Do Under Tokens, Latency, and Tool-Call Budget Constraints? appeared first on MarkTechPost. Read More
A coordinated campaign has been observed targeting a recently disclosed critical-severity vulnerability that has been present in the GNU InetUtils telnetd server for 11 years. […] Read More
Anthropic’s usage stats paint a detailed picture of AI successAI News Anthropic’s Economic Index offers a look at how organisations and individuals are actually using large language models. The report contains the company’s analysis of a million consumer interactions on Claude.ai, plus a million enterprise API calls, all dated from November 2025. The report notes that its figures are based on observations, rather than, for example,
The post Anthropic’s usage stats paint a detailed picture of AI success appeared first on AI News.
Anthropic’s Economic Index offers a look at how organisations and individuals are actually using large language models. The report contains the company’s analysis of a million consumer interactions on Claude.ai, plus a million enterprise API calls, all dated from November 2025. The report notes that its figures are based on observations, rather than, for example,
The post Anthropic’s usage stats paint a detailed picture of AI success appeared first on AI News. Read More
Achieving 5x Agentic Coding Performance with Few-Shot PromptingTowards Data Science Learn to leverage few-shot prompting to increase your LLMs performance
The post Achieving 5x Agentic Coding Performance with Few-Shot Prompting appeared first on Towards Data Science.
Learn to leverage few-shot prompting to increase your LLMs performance
The post Achieving 5x Agentic Coding Performance with Few-Shot Prompting appeared first on Towards Data Science. Read More
Integrating Rust and Python for Data ScienceKDnuggets Python remains at the forefront data science, it is still very popular and useful till date. But on the other hand strengthens the foundation underneath. It becomes necessary where performance, memory control, and predictability become important.
Python remains at the forefront data science, it is still very popular and useful till date. But on the other hand strengthens the foundation underneath. It becomes necessary where performance, memory control, and predictability become important. Read More
Optimizing Data Transfer in Distributed AI/ML Training WorkloadsTowards Data Science A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems – part 3
The post Optimizing Data Transfer in Distributed AI/ML Training Workloads appeared first on Towards Data Science.
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems – part 3
The post Optimizing Data Transfer in Distributed AI/ML Training Workloads appeared first on Towards Data Science. Read More
How the Amazon.com Catalog Team built self-learning generative AI at scale with Amazon BedrockArtificial Intelligence In this post, we demonstrate how the Amazon Catalog Team built a self-learning system that continuously improves accuracy while reducing costs at scale using Amazon Bedrock.
In this post, we demonstrate how the Amazon Catalog Team built a self-learning system that continuously improves accuracy while reducing costs at scale using Amazon Bedrock. Read More
Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormationArtificial Intelligence Amazon Bedrock AgentCore services are now being supported by various IaC frameworks such as AWS Cloud Development Kit (AWS CDK), Terraform and AWS CloudFormation Templates. This integration brings the power of IaC directly to AgentCore so developers can provision, configure, and manage their AI agent infrastructure. In this post, we use CloudFormation templates to build an end-to-end application for a weather activity planner.
Amazon Bedrock AgentCore services are now being supported by various IaC frameworks such as AWS Cloud Development Kit (AWS CDK), Terraform and AWS CloudFormation Templates. This integration brings the power of IaC directly to AgentCore so developers can provision, configure, and manage their AI agent infrastructure. In this post, we use CloudFormation templates to build an end-to-end application for a weather activity planner. Read More
Two malicious extensions in Microsoft’s Visual Studio Code (VSCode) Marketplace that were collectively installed 1.5 million times, exfiltrate developer data to China-based servers. […] Read More
The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Thursday added four security flaws to its Known Exploited Vulnerabilities (KEV) catalog, citing evidence of active exploitation in the wild. The list of vulnerabilities is as follows – CVE-2025-68645 (CVSS score: 8.8) – A PHP remote file inclusion vulnerability in Synacor Zimbra Collaboration Suite (ZCS) that […]
