Your Hosts: Fred and Melody

This podcast provides a comprehensive overview of context engineering for large language models (LLMs) and AI agents.

It explains that this field involves dynamically providing LLMs with all necessary information, including user input, retrieved knowledge, developer instructions, and access to tools, to ensure successful task completion.

It differentiates context engineering from prompt engineering, positioning the latter as a subset of the broader discipline.

Key principles discussed include incorporating relevant information, equipping models with tools, dynamic context assembly, and proper formatting, all aimed at setting the LLM up for success. The text also covers memory management strategies, reasoning and acting paradigms like ReAct, and the utility of function calling for structured tool use.

This podcast is based on this technical article.

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Continuous Temperature Mapping (cTM) is a state-of-the-art platform designed to revolutionize how environmental data is captured, analyzed, and utilized.

Powered by advanced AI and machine learning, cTM delivers unparalleled accuracy and real-time insights for any of your sites.

Why cTM?

1️⃣Effortless Setup: Say goodbye to complex installations. cTM’s IoT-enabled sensors and cloud-based infrastructure ensure quick deployment with minimal manual effort.

2️⃣Actionable Insights: Transform raw data into meaningful insights with customizable dashboards. Monitor temperature trends, optimize operations, and make informed decisions instantly.

3️⃣Real-Time Accuracy: Harness the power of AI/ML models to validate environmental data with precision, ensuring reliability and compliance.Scalability and Reliability: With a secure and scalable cloud infrastructure, cTM adapts to your growing monitoring needs without compromising performance.

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More details: https://continuoustv.beehiiv.com/p/064-continuous-temperature-mapping-redefining-gxp-compliance-with-ai

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✅LinkedIn: https://www.linkedin.com/company/xlm-llc

✅Spotify: https://spoti.fi/3ERya62

✅Beehiiv: https://continuoustv.beehiiv.com/

✅YouTube: https://www.youtube.com/@xLMContinuousTV

cRPA: Your Digital Team of Autonomous Agents

• Continuous Robotic Process Automation (cRPA) is a next-generation digital workforce designed to automate regulated enterprise processes with intelligence, compliance, and conversational ease.

• cRPA agents understand natural language, interact seamlessly across enterprise systems like SAP, Veeva, and ServiceNow, and execute tasks autonomously while maintaining full audit trails compliant with regulations such as 21 CFR Part 11 and Annex 11.

• Key features include a conversational interface, role-aware support, autonomous execution, automatic documentation, natural language understanding, and audit-ready design.

• Architecturally, cRPA integrates development, orchestration, execution, and interaction layers in a cloud-native, modular pipeline.

• Use cases span GxP workflows such as change control, logbook entry automation, and deviation reporting, where cRPA streamlines processes, reduces manual effort, and ensures compliance.

• The system significantly improves operational efficiency, audit readiness, and user experience by transforming complex, manual, and error-prone tasks into fast, traceable, and compliant digital workflows.

• Ultimately, cRPA represents continuous intelligence that acts as a digital co-pilot for regulated industries, enabling faster, more accurate, and transparent process management.

More information: https://continuoustv.beehiiv.com/p/063-crpa-spotlight-your-digital-team-of-autonomous-agents?draft=true

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Follow us on:

✅LinkedIn: https://www.linkedin.com/company/xlm-llc

✅Spotify: https://spoti.fi/3ERya62

✅Beehiiv: https://continuoustv.beehiiv.com/

✅YouTube: https://www.youtube.com/@xLMContinuousTV