SCC Comets

Multilingual NLP Progress: How Large Language Models Handle Many Languages
Tess Rempel Mar, 26 2026 Artificial Intelligence

Multilingual NLP Progress: How Large Language Models Handle Many Languages

Explore how Large Language Models manage multiple languages, covering architectural changes, the English-centric reasoning layer, and challenges for low-resource tongues.
1 Artificial Intelligence
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Predicting Future LLM Price Trends: Competition and Commoditization (2026-2027)
Tess Rempel Mar, 25 2026 Artificial Intelligence

Predicting Future LLM Price Trends: Competition and Commoditization (2026-2027)

LLM prices have plummeted 98% since 2023. Discover the 2026 pricing landscape, hidden costs like reasoning tokens, and the shift to per-action billing models.
0 Artificial Intelligence
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On-Device Generative AI: How Edge AI Delivers Privacy and Speed Without the Cloud
Tess Rempel Mar, 23 2026 Artificial Intelligence

On-Device Generative AI: How Edge AI Delivers Privacy and Speed Without the Cloud

On-device generative AI processes data locally on your phone or smart device, eliminating cloud delays and keeping your data private. It's faster, more secure, and already in your hands.
2 Artificial Intelligence
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Monolith or Microservices for Vibe Coding: How to Choose the Right Architecture
Tess Rempel Mar, 22 2026 Software Architecture

Monolith or Microservices for Vibe Coding: How to Choose the Right Architecture

Choosing between monolith and microservices in Vibe Coding isn't about trends-it's about flow. Learn when to stick with one codebase and when to break things apart for faster, smarter shipping.
7 Software Architecture
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Role Assignment in Vibe Coding Prompts: Senior Architect vs Junior Developer
Tess Rempel Mar, 21 2026 Artificial Intelligence

Role Assignment in Vibe Coding Prompts: Senior Architect vs Junior Developer

Role assignment in vibe coding lets you tell AI whether to act like a senior architect or junior developer - and it dramatically changes code quality, security, and review time. Learn how to use it effectively.
7 Artificial Intelligence
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How AI High Performers Capture Value from Generative AI: Workflow Redesign and Scaling
Tess Rempel Mar, 20 2026 Artificial Intelligence

How AI High Performers Capture Value from Generative AI: Workflow Redesign and Scaling

High-performing organizations don’t just use generative AI - they redesign workflows around it. Learn how companies like Klarna, Colgate, and Five Sigma cut costs, boosted productivity, and re-engaged employees by focusing on one high-impact use case at a time.
5 Artificial Intelligence
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Scientific Workflows with Large Language Models: How Researchers Are Using Sci-LLMs to Accelerate Discovery
Tess Rempel Mar, 19 2026 Artificial Intelligence

Scientific Workflows with Large Language Models: How Researchers Are Using Sci-LLMs to Accelerate Discovery

Scientific Large Language Models (Sci-LLMs) are accelerating research by automating literature reviews, generating hypotheses, and designing experiments. Learn how they work, where they excel, and where they still fail.
5 Artificial Intelligence
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Token Probability Calibration in LLMs: How to Fix Overconfidence in AI Predictions
Tess Rempel Mar, 18 2026 Artificial Intelligence

Token Probability Calibration in LLMs: How to Fix Overconfidence in AI Predictions

Token probability calibration fixes AI overconfidence by aligning predicted probabilities with real accuracy. Learn how GPT-4, Llama-2, and other models misjudge confidence-and what to do about it.
7 Artificial Intelligence
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Natural Language to Schema: How to Prompt Databases and ER Diagrams Effectively
Tess Rempel Mar, 17 2026 Artificial Intelligence

Natural Language to Schema: How to Prompt Databases and ER Diagrams Effectively

Natural Language to Schema lets non-technical users query databases using plain English. Learn how ER diagrams, schema awareness, and LLMs work together to turn spoken questions into accurate SQL-plus real-world accuracy stats, tool comparisons, and implementation tips.
0 Artificial Intelligence
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Domain-Specialized Large Language Models: Code, Math, and Medicine
Tess Rempel Mar, 15 2026 Artificial Intelligence

Domain-Specialized Large Language Models: Code, Math, and Medicine

Domain-specialized LLMs like CodeLlama, Med-PaLM 2, and MathGLM are outperforming general AI models in code, math, and medicine - with higher accuracy, lower costs, and real-world impact.
10 Artificial Intelligence
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Autoscaling Large Language Model Services: Policies, Signals, and Costs
Tess Rempel Mar, 13 2026 Artificial Intelligence

Autoscaling Large Language Model Services: Policies, Signals, and Costs

Autoscaling LLM services requires specialized metrics like prefill queue size and slots_used-not CPU or GPU usage. Learn how to balance cost and latency with real-world policies for chatbots, batch jobs, and real-time apps.
7 Artificial Intelligence
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Multilingual RAG for Large Language Models: Overcoming Cross-Language Retrieval Challenges
Tess Rempel Mar, 11 2026 Artificial Intelligence

Multilingual RAG for Large Language Models: Overcoming Cross-Language Retrieval Challenges

Multilingual RAG lets LLMs answer questions across languages using external data-but hidden biases favor English. Learn how cross-language retrieval fails, why translation alone isn’t enough, and what new frameworks like DKM-RAG are doing to fix it.
10 Artificial Intelligence
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