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#human-in-the-loop #generative-ai #resource-efficient-ai #small-models #federated-learning #foundation-models
Artificial intelligence
fromInfoQ
1 week ago

Building LLMs in Resource-Constrained Environments: A Hands-On Perspective

Prioritize small, resource-efficient models and iterative, human-in-the-loop data creation to build practical, improvable AI under infrastructure and data constraints.
fromTalkpython
3 months ago

Building Data Science with Foundation LLM Models

Today, we're talking about building real AI products with foundation models. Not toy demos, not vibes. We'll get into the boring dashboards that save launches, evals that change your mind, and the shift from analyst to AI app builder. Our guide is Hugo Bowne-Anderson, educator, podcaster, and data scientist, who's been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around.
Artificial intelligence
Artificial intelligence
fromInfoWorld
5 months ago

Enterprise essentials for generative AI

Enterprises must pair strategic vision with clear objectives, data readiness, evaluative design, and human-in-the-loop processes to build durable, effective AI systems.
fromeLearning Industry
5 months ago

Senior Instructional Designer

Collaborates with the Learning and Development team and designated Divisional partners. Designs, develops, and may help deliver grant and contract-funded instructional projects. Advises faculty and staff on effective use of instructional resources for specific projects. Conducts needs analysis and performance analysis to develop learner-centered experiences. Collaborates with faculty in writing Instructional Design criteria for grant and contract proposals. Working in partnership with Subject Matter Experts, develops design documents and/or storyboards outlining instructional objectives, methods, and assessment plans.
Education
#generative-ai
fromMedium
6 months ago
Artificial intelligence

Mastering AI Evaluation in 2025: Lessons from Ian Cairns on Building Reliable Systems

Robust evaluation, observability, and continuous iteration are essential to transition generative AI projects from prototypes to reliable, scalable production systems.
fromMedium
9 months ago
Artificial intelligence

Evaluation Mindset: Taming the Gen AI Dragon

Evaluation in AI is a mindset, not a resource issue; it requires ongoing inquiry and critical thinking for successful application deployment.
fromMedium
6 months ago
Artificial intelligence

Mastering AI Evaluation in 2025: Lessons from Ian Cairns on Building Reliable Systems

Artificial intelligence
fromMedium
9 months ago

Evaluation Mindset: Taming the Gen AI Dragon

Evaluation in AI is a mindset, not a resource issue; it requires ongoing inquiry and critical thinking for successful application deployment.
more#generative-ai
fromMedium
6 months ago

From Prototype to Production: Week 3 of the Agentic AI Summit

The final week delivered the advanced tools and mindsets needed to operationalize agentic AI at scale, focusing on evaluation, governance, and production environments.
Artificial intelligence
Photography
fromHackernoon
1 year ago

How Focusing Resolves Stuck Terms in Core Evaluation | HackerNoon

Focusing techniques solve stuck term problems in Core by lifting subcomputations for effective evaluation.
Graphic design
fromHackernoon
8 months ago

Can an AI Animate Logos Better Than a Human? | HackerNoon

LogoMotion utilizes an LLM system to enhance content-aware animation and program repair for logo design.
philosophy
fromThe Conversation
8 months ago

Stop the 'good' vs 'bad' snap judgments and watch your world become more interesting

Instinctive categorization of experiences as 'good' or 'bad' limits our perceptions and understanding of the world.
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