AI Token Estimator for Text Inputs

Estimate token usage for AI models like GPT with our free AI Token Estimator. Paste your text and get instant results for better planning!

Microsoft Copilot AI faced criticisms over performance and reliability issues

Microsoft Copilot faces performance, accuracy and adoption problems in 2025 amid internal pressure and stiff competition.

Top Tools for Event-Driven LLM Workflow Design

Compare top event-driven platforms for building scalable, multi-agent LLM workflows — features, licensing, and best use cases.

Debugging LLM API Calls: Step-by-Step

Four practical steps to debug LLM API calls—set up distributed tracing, log prompts/responses, fix auth and rate limits, and trace multi-step workflows.

Best Practices for Multimodal Audio-Text Systems

Design low-latency, reliable multimodal audio-text systems: architecture, fusion strategies, ASR best practices, prompt design, and continuous monitoring.

How to Test LLM Prompts for Bias

Step-by-step guide to detect and measure bias in LLM prompts using counterfactuals, benchmark datasets, perturbation, and statistical plus embedding analyses.

Multi-Modal Prompt Integration: Data Prep Guide

Guide to cleaning, aligning, and validating text, image, and audio for effective multi-modal prompts, plus fusion strategies and YAML workflows.

Persona-Based Personalization in LLM Applications

Design role-based and user-personalized LLMs with clear roles, structured JSON profiles, agentic memory, RAG, and monitoring for improved relevance.

5 Adaptive Compression Methods for LLMs

Five adaptive LLM compression methods—low-rank SVD, vision token resampling, task-aware mixed precision, quantize+prune, and adaptive pruning—that reduce model size while preserving accuracy.