When deploying an agent in production, ensuring it's effectively meeting business requirements at scale is a common challenge. Teams often rely on surface signals such as completion rates and latency, but these do not provide insight into whether the agent is finishing tasks, staying on topic, leaking PII, or accurately following intended steps. This issue is addressed through agent evaluation....
Tata Consultancy Services (TCS) identified that for Banking, Financial Services, and Insurance (BFSI) clients, the slowest part of a release is not writing application code, but rather the chain of work that follows. This includes interpreting requirements, designing scenarios, writing and maintaining automation, preparing execution environments, investigating failures, and assembling evidence ...
In the given study, the author explores the performance of two encoding techniques for tree-based machine learning models, focusing on gradient boosting regression with decision tree weak learners. The first technique, referred to as super simple, uses ordinal encoding for categorical variables. The second technique, referred to as complex, employs smoothed-target encoding for continuous variab...
NVIDIA is strengthening its commitment to the open source Kubernetes system, which manages applications across thousands of AI factories, by contributing new tools to enhance security and scaling at the KubeCon + CloudNativeCon conference. NVIDIA is contributing NVIDIA OpenShell, an open source runtime for securing and governing autonomous agents, to the Cloud Native Computing Foundation (CNCF)...
In this summary, we highlight Amazon Bedrock AgentCore's new feature, the Web Search API. This API enables AI agents to access current web results through a single API call, using their existing AWS credentials. The results include titles, URLs, publication dates, and extracts relevant to the query, while users can also specify domain restrictions and publication date ranges. The Web Search API...
In this summary, I will describe a solution for observability data lake needs in Amazon Bedrock workloads. When running multiple model invocations daily across different accounts, it becomes challenging to understand what happened after a request was sent. Questions arise, such as which prompt was used, the model response, token usage, handling model, and response quality. As a platform or ML e...
Moonshot AI's new post-trained version of Kimi K3.1, named Kimi K3.1 Pro Highspeed, is now accessible on Amazon Bedrock. With the same open-weight architecture and context window, this upgraded model benefits from additional post-training compute, focusing on long-horizon tasks and reducing factual errors. It enhances professional functions, including financial modeling and document processing,...
Trovata is an AI-driven platform for corporate cash and liquidity management, offering direct access to over 10,000 banks through a single system. Treasury teams face challenges with fragmented banking data, manual reporting, and outdated Treasury Management Systems (TMS). Trovata's innovative solution addresses these issues by introducing autonomous agents that act on behalf of treasury teams,...
CrossnoKaye's industrial AI solution, ATLAS, connects and integrates live plant data and AI reasoning with closed-loop control of equipment in food and beverage plants, industrial refrigeration facilities, quarries, and manufacturing sites. The platform, running on Amazon Web Services (AWS), manages facility models, base control software, historians, and optimization applications in one place. ...
Anthropic announces the availability of Claude Fable 5.2 and Claude Mythos 5.2 on Amazon Bedrock and AWS. Fable 5.2 is Anthropic's most advanced model for technical work, handling ambiguous, multi-step problems in coding, math, and science. Mythos 5.2 is available for advanced cyber security and life sciences work through Anthropic's verification programs. Fable 5.2 excels at long-running agent...
An internal AI assistant in a banking operations context helps an employee with two different types of information requests. For a checklist lookup, the assistant uses single-shot Retrieval Augmented Generation (RAG) from Amazon Bedrock Managed Knowledge Base for a quick and single answer. For a cross-policy comparison between sole proprietorships, LLCs, and partnerships, the assistant uses age...
MIT researchers have developed a new learning platform for robots that allows them to understand the larger meaning behind human language commands. The platform, called FLEX, enables robots to draw generalizations from natural language instructions and adapt their motion planning accordingly. Using a large language model, the robot can reason about context and avoid potential hazards without ex...
MIT researchers, led by Christopher Voigt from the Department of Biological Engineering, will head a $53 million project funded by US Advanced Research Projects Agency for Health (ARPA-H) to develop next-generation weed killers. Current herbicides, including glyphosate and atrazine, are vital for US agriculture but pose health concerns and risks due to resistance mutations. The research team, w...
NVIDIA's Nemotron 3.5 Super VL model, a 120B-parameter vision-language model with a hybrid language backbone and a vision encoder, is now accessible in Amazon SageMaker JumpStart. The model, which accepts images, video, and text as input and generates text, supports context lengths of up to 1 million tokens and includes a built-in Multi-Token Prediction (MTP) head. NVIDIA designed Super VL for ...
In the world of Mix-of-Experts (MoE) models, a key component is the routing strategy that determines which experts process each token. This summary outlines seven production routing strategies and their respective models. Size and runs for each range from Mixtral with 8 experts up to DeepSeek-V4-Pro with 384, engaging 1 to 8 experts per token. The performance impact includes the use of strategi...