BRICS AI Economics

Jun, 20 2026

Latency vs Throughput in LLM Deployments: A Practical Guide for Production

Emily Fies

Master the latency vs throughput tradeoff in LLM deployments. Learn how batching, vLLM, and GPU selection impact performance and costs in production environments.

Jun, 19 2026

Preventing Catastrophic Forgetting During LLM Fine-Tuning: Techniques That Work

Emily Fies

Learn why LoRA fails to stop catastrophic forgetting and discover proven 2025-2026 techniques like FIP, EWC, and distillation to preserve LLM knowledge during fine-tuning.

Jun, 18 2026

Reasoning-Enhanced LLMs: How AI is Accelerating Scientific Discovery in 2026

Emily Fies

Explore how reasoning-enhanced LLMs are transforming scientific discovery. From molecular prediction to autonomous hypothesis generation, see how AI is evolving from a tool to a research partner.

Jun, 17 2026

Vibe Coding Legal Guide: Writing Terms of Service and Privacy Policies for AI Apps

Emily Fies

Learn how to write compliant Terms of Service and Privacy Policies for apps built with Vibe Coding platforms like Vibecode. Avoid app store rejections and GDPR fines.

Jun, 16 2026

How LLMs Are Revolutionizing Resume Parsing and Candidate Screening

Emily Fies

Discover how Large Language Models transform resume parsing and candidate screening, offering faster, fairer, and more accurate hiring workflows compared to traditional ATS.

Jun, 15 2026

Evaluating Factuality in LLMs: Grounded Generation and Fact-Checking Pipelines

Emily Fies

Explore how to evaluate factuality in LLMs using grounded generation and fact-checking pipelines. Learn about FactScore, RAG metrics, and tools like OpenFactCheck to stop hallucinations.

Jun, 14 2026

Content Generation with Large Language Models: Marketing, Ads, and SEO

Emily Fies

Discover how Large Language Models transform marketing, ads, and SEO. Learn practical strategies for AI content generation, avoid common pitfalls, and boost efficiency.

Jun, 13 2026

Chain-of-Verification (CoVe): How to Stop LLMs from Hallucinating

Emily Fies

Learn how Chain-of-Verification (CoVe) stops LLMs from hallucinating. This guide explains the 4-step self-verification process, compares it to RAG and CoT, and offers implementation tips for accurate AI outputs.

Jun, 13 2026

Chain-of-Verification (CoVe): How to Reduce LLM Hallucinations

Emily Fies

Learn how Chain-of-Verification (CoVe) reduces LLM hallucinations. Discover the 4-step prompting framework that forces AI to self-check facts for higher accuracy.

Jun, 12 2026

Sales Enablement Using LLMs: Battlecards, Objection Handling, and Summaries

Emily Fies

Learn how LLMs transform sales enablement through dynamic battlecards, real-time objection handling, and automated summaries. Boost win rates and reduce admin time.

Jun, 11 2026

Open-Source Generative AI in 2026: Models, Governance, and Future Trends

Emily Fies

Explore the 2026 landscape of open-source generative AI, covering top models like LLaMA 3 and Stable Diffusion 3, governance challenges, and the shift to edge computing.

Jun, 10 2026

Semantic Search with LLMs: How AI Transforms Keyword Matching into Intent Understanding

Emily Fies

Discover how Large Language Models transform search from keyword matching to intent understanding. Learn about vector embeddings, query expansion, and re-ranking strategies for building smarter, semantic search systems.

BRICS AI Economics

Latency vs Throughput in LLM Deployments: A Practical Guide for Production

Preventing Catastrophic Forgetting During LLM Fine-Tuning: Techniques That Work

Reasoning-Enhanced LLMs: How AI is Accelerating Scientific Discovery in 2026

Vibe Coding Legal Guide: Writing Terms of Service and Privacy Policies for AI Apps

How LLMs Are Revolutionizing Resume Parsing and Candidate Screening

Evaluating Factuality in LLMs: Grounded Generation and Fact-Checking Pipelines

Content Generation with Large Language Models: Marketing, Ads, and SEO

Chain-of-Verification (CoVe): How to Stop LLMs from Hallucinating

Chain-of-Verification (CoVe): How to Reduce LLM Hallucinations

Sales Enablement Using LLMs: Battlecards, Objection Handling, and Summaries

Open-Source Generative AI in 2026: Models, Governance, and Future Trends

Semantic Search with LLMs: How AI Transforms Keyword Matching into Intent Understanding

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Latest Courses

LLM Limitations: A Practical Guide to Setting User Expectations

Preventing Catastrophic Forgetting During LLM Fine-Tuning: Techniques That Work

Open-Source Generative AI in 2026: Models, Governance, and Future Trends

Audio Generation in Generative AI: Speech, Music, and Sound Effects Explained

How Layer Dropping and Early Exit Speed Up LLM Inference

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