📰 Dev.to · Jaipal Singh

Learn what a unified AI API is, why enterprises use them, and how to evaluate LLM gateways. Compare PremAI, OpenRouter, LiteLLM, Portkey, and more.

Deploy AI in air-gapped environments with zero internet dependency. Compare 7 enterprise platforms, learn deployment steps, and evaluate compliance for defense,

Learn how to fine-tune AI models with practical steps. Covers LoRA, full fine-tuning, dataset prep, and when fine-tuning beats RAG or prompt engineering. Real e

Cloud AI or self-hosted? Compare costs, tradeoffs, and deployment models with real examples. Learn which AI strategy fits your team, workload, and compliance ne

General LLMs struggle with specialized domains. Learn how to build domain-specific language models using fine-tuning, RAG, and evaluation. Practical guide with

Bedrock vs PremAI for enterprise generative AI. We compare foundation models, deployment, costs vs OpenAI, and sovereign AI so you can pick the right platform.

Compare 15 lightweight language models by parameters, performance, and use case. From Qwen3 to Gemma 3n, find the right small LLM for coding, chatbots, or on-de

Training a small language model costs 50x less than running LLM APIs long-term. Learn three practical paths to build your own SLM, from dataset to deployment.

Learn how to train custom language models with working code. Compare fine-tuning vs training from scratch with real compute costs and step-by-step Python exampl

Custom AI model development explained for enterprise teams. From dataset prep to deployment, with real cost comparisons and practical steps you can follow today

Compare 9 on-premise alternatives to Azure OpenAI. From Prem AI to vLLM, find the right self-hosted solution for enterprise AI.

Learn how to self-host AI models for better data control and lower costs. Covers hardware requirements, open-source LLMs, tools like Ollama and vLLM, and real c

Learn how to deploy a private LLM for your enterprise. Covers infrastructure options, cost models, compliance requirements, and when self-hosting actually makes

Enterprise teams need AI without cloud dependencies. Compare 15 private Hugging Face alternatives for local inference, fine-tuning, and secure deployment.

Fine-tuned Phi-3 hit 96% accuracy vs GPT-4o’s 80% on financial tasks. Learn to fine-tune Phi-3 and Gemma 2 with QLoRA for under $100. Benchmarks, code, and depl

Together AI makes fine-tuning feel easy. Upload your data, pick a base model, click "Train," and wait for your custom model to appear. For prototyping and small

Most AI SDKs make you choose: easy development or data privacy. Use OpenAI's SDK and your data flows through their servers. Self-host everything and you're writ

Compare Qwen 2.5, Llama 3.2, and DeepSeek R1 for enterprise deployment. Covers benchmarks, licensing, compliance considerations, and deployment costs for 2026.

TL;DR: This guide covers 12 actionable security practices for production LLM deployments, mapped to OWASP's LLM Top 10 (2025) and Agentic Top 10 (2026). Each pr

SGLang and LMDeploy are the fastest LLM inference engines in 2026, both delivering approximately 16,200 tokens per second on H100 GPUs. vLLM follows at around 1

The best LLM for RAG is two models working together. Your embedding model determines whether you retrieve the right chunks. Your generation model determines whe

Private RAG deployment matters when you’re handling sensitive data. But here’s the problem: most implementations leak information at multiple points without tea

Azure OpenAI is the default enterprise choice for many organizations. Microsoft ecosystem integration, OpenAI’s models, enterprise support agreements. For teams

Google Vertex AI is growing fast in enterprise. Gemini models, Vertex AI Studio for prompt design, deep GCP integration. For cloud-native teams on Google Cloud,