Language Models

17 articles in this category

AI NewsLanguage ModelsMachine Learning

Structured Outputs vs. Function Calling: Architectural Trade-offs for AI Agents

Learn the architectural differences between structured outputs and function calling to build reliable AI agents with 100% schema compliance.

Apr 13, 2026

AI NewsLanguage ModelsData Architecture

Building Deterministic Graph-RAG Systems Beyond Vector Search

Learn to build a 3-tiered Graph-RAG system using QuadStore and ChromaDB to eliminate factual hallucinations in language model retrieval via SPOC indexing.

Apr 10, 2026

AI NewsLanguage Models

Evaluating LLM Agents: A Technical Guide to RAGAs and G-Eval Frameworks

Learn to evaluate LLM applications using RAGAs for faithfulness and DeepEval's G-Eval for qualitative coherence scoring.

Apr 8, 2026

AI NewsLanguage ModelsDatabase Systems

Scaling Semantic Search: A Deep Dive into Vector Database Architectures and ANN Indexing

Learn how vector databases leverage ANN algorithms like HNSW and IVF to enable high-speed similarity search across billion-scale embedding datasets.

Mar 26, 2026

AI NewsLanguage ModelsMachine Learning

5 System-Level Strategies to Mitigate LLM Hallucinations in Production

Discover five technical strategies to detect and reduce LLM hallucinations in production systems using RAG, verification layers, and structured outputs.

Mar 25, 2026

AI NewsLanguage ModelsMachine Learning

Solving Context Rot: A Technical Guide to Recursive Language Models

Recursive Language Models (RLMs) use external REPL runtimes and code-driven sub-calls to solve 'context rot' and reasoning failures in long-input processing.

Mar 17, 2026

AI NewsLanguage ModelsMachine Learning

From Text to Tables: Feature Engineering with LLMs for Tabular Data

Transform unstructured text into structured features using Groq-hosted Llama models and Pydantic schemas for high-signal machine learning classification.

Mar 10, 2026

AI NewsLanguage Models

Building Semantic Search Engines with Sentence Transformer Embeddings

Learn to implement a semantic search engine using the all-MiniLM-L6-v2 model and nearest neighbors to process 1,000 news articles for context-aware retrieval.

Mar 2, 2026

AI NewsLanguage ModelsMachine Learning

7 Production-Grade Small Language Models for Local Laptop Deployment

Deploy specialized AI models like Phi-3.5 Mini and Llama 3.2 on consumer hardware with as little as 2GB of RAM for high-efficiency local inference.

Feb 16, 2026

AI NewsLanguage ModelsRobotics

Generating Text with Diffusion and ROI with LLMs

Diffusion language models achieve faster and more accurate multiple token generation compared to traditional LLMs, with a focus on ROI-first approach in AI implementation.

Feb 3, 2026

AI NewsLanguage ModelsTime Series Analysis

Seven Prompt Engineering Strategies for Time Series Analysis with LLMs

Seven prompt engineering strategies enhance LLMs for time series forecasting and anomaly detection, as outlined by MachineLearningMastery.com

Dec 4, 2025

AI NewsLanguage ModelsData Validation

Validating LLM Outputs with Pydantic: A Technical Guide

Pydantic validates LLM outputs, ensuring structured data reliability with custom schemas and error handling.

Dec 3, 2025

AI NewsLanguage Models

Prompt Compression for LLM Generation Optimization and Cost Reduction

Prompt compression reduces LLM token usage by 40%, cutting costs and speeding up generation.

Dec 1, 2025

AI NewsLanguage ModelsEvaluation

LLM Evaluation Metrics: Key Metrics, Benchmarks, and Tools for Developers

Master LLM evaluation with automated benchmarks, safety checks, and key metrics like BLEU, ROUGE, and perplexity.

Nov 10, 2025

AI NewsLanguage ModelsRAG Systems

Essential Chunking Techniques for Building Better LLM Applications

Proper chunking improves retrieval accuracy and reduces hallucinations in LLM apps.

Nov 6, 2025

AI NewsLanguage ModelsMachine Learning

7 Advanced Feature Engineering Tricks for Text Data Using LLM Embeddings

Explore seven advanced techniques to enhance text-based machine learning models by combining LLM-generated embeddings with traditional features, improving accuracy in tasks like sentiment analysis and clustering.

Oct 29, 2025

AI NewsLanguage ModelsIndia Tech

IBM Granite 4.0: Hyper-efficient, high performance hybrid models for India

IBM’s Granite 4.0 models cut GPU costs by 50% for Indian languages using hybrid Mamba/transformer architecture, certified under ISO 42001.

Feb 9, 2021