#nlp Development Tutorials & Tips | Roast Dev

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Synonymic Query Expansion for Smarter Search

“A user types ‘doctor’, but the data says ‘physician’. Without expansion, it’s a missed connection.” Let’s Start with the Problem You’ve got a solid enterprise search syste...

02.04.2025 0 Read More

FlashTokenizer: The World’s Fastest CPU Tokenizer

FlashTokenizer: The World's Fastest CPU Tokenizer As large language models (LLMs) and artificial intelligence applications become increasingly widespread, the demand for high-performance natu...

02.04.2025 0 Read More

Embeddings Demystified: Math, Meaning & Machines

“Embeddings are like whispers in a language machines can understand — quiet, dense, and surprisingly smart.” What’s the Deal with Embeddings? When you say “I love ice cream,” you...

03.04.2025 0 Read More

How to Deploy and Train a Custom AI Agent on IBM Cloud for Document Processing

Deploying a custom AI agent on IBM Cloud enables advanced document processing with AI models that can analyze, extract, and classify document content automatically. In this guide, we will walk you thr...

03.04.2025 0 Read More

Entendiendo los Embeddings en Inteligencia Artificial

La inteligencia artificial (IA) ha transformado la forma en que interactuamos con los datos, desde los sistemas de recomendación hasta el procesamiento del lenguaje natural. Dentro de este mundo, los...

03.04.2025 0 Read More

Sentiment Analysis using AWS Comprehend & Lambda

Design a serverless sentiment analysis system leveraging AWS services.RequirementGather the input text (that could be a comment or a feedback on a survey, etc) and feed it into a compute service that ...

05.04.2025 0 Read More

🧠 Diagram2Graph: Fine-Tuning a Vision Language Model to Extract Knowledge Graphs from Diagrams

Using Qwen2.5-VL + PEFT + Neo4J Fine tuned by By Mohammed Safvan | Zackriya Solutions 🚀 TL;DR Convert images of flowcharts or process diagrams directly into Neo4J-compatible JSON using a fi...

05.04.2025 0 Read More

Command Line Text Completions via Local LLM with GPT4All and NodeJS

Lately I've been hacking away at some LLM integrations. I found myself with a need to stream text completions directly into a file from the command line. I decided to release this part of my project w...

07.04.2025 0 Read More

How I Built a Prompt Compressor That Reduces LLM Token Costs Without Losing Meaning

Tools like LLMLingua (by Microsoft) use language models to compress prompts by learning which parts can be dropped while preserving meaning. It’s powerful — but also relies on another LLM to optim...

15.04.2025 0 Read More

SEO vs SEM: Understanding the Battle for Search Engine Supremacy

SEO vs SEM: What's the difference? Which one should you prioritize? Momenul Ahmad breaks down the strategies, results, pricing, and tools for both.)The Dynamic Duo of Digital MarketingIn the world of ...

16.04.2025 0 Read More

Synonymic Query Expansion for Smarter Search

FlashTokenizer: The World’s Fastest CPU Tokenizer

Embeddings Demystified: Math, Meaning & Machines

How to Deploy and Train a Custom AI Agent on IBM Cloud for Document Processing

Entendiendo los Embeddings en Inteligencia Artificial

Sentiment Analysis using AWS Comprehend & Lambda

🧠 Diagram2Graph: Fine-Tuning a Vision Language Model to Extract Knowledge Graphs from Diagrams

Command Line Text Completions via Local LLM with GPT4All and NodeJS

How I Built a Prompt Compressor That Reduces LLM Token Costs Without Losing Meaning

SEO vs SEM: Understanding the Battle for Search Engine Supremacy

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