Journal /Notes from the studio
Practical guides on
AI agents, SEO and growth.
Hands-on articles from the ZEON Solutions team on AI agents, AIGC workflows, SEO, ad channels and building software that does the work.
Training SLM Models for Automated Catalog Data Normalization
A technical guide to using small language models for cleaning e-commerce data, extracting product attributes, and mapping catalog data to internal ERP standards.
Comparing Mistral and Gemma for Customer Support Automation
Choosing between Mistral and Gemma for customer support automation depends on your hardware constraints and the complexity of your support tickets. This guide breaks down the data.
Fine tuning SLM models for B2B sentiment analysis
A practical guide for SMBs on fine-tuning small language models to capture the nuance of B2B communication in sales and operations.
Migrating Business Workflows from GPT-4 to Private SLM: A Practical Guide
Learn how to transition business workflows from expensive GPT-4 APIs to private, locally hosted small language models for better performance and cost control.
SOC2 compliance for private SLM model deployment
Learn how to secure private Small Language Models (SLMs) and meet SOC2 audit requirements for self-hosted AI infrastructure with this practical checklist and guide.
Using Synthetic Data to Train SLM for Niche Industries
Discover how to bootstrap domain-specific small language models using synthetic data generation techniques to overcome data scarcity in specialized industries.
Running small language models on edge devices for retail stores
Deploying SLMs on edge hardware like NVIDIA Jetson allows retail stores to process customer data and inventory tasks locally without relying on cloud connectivity.
Compliance requirements for private SLM deployment in healthcare
A practical guide for healthcare operators on navigating HIPAA, data privacy, and auditing when deploying private small language models for medical data.
Fine tuning slm to improve RAG retrieval accuracy
Discover practical strategies for fine tuning slm to improve RAG retrieval accuracy to make your business AI more precise and reliable.
Phi-3 vs GPT-4o mini for business task automation: A comparison
A practical comparison of Microsoft's Phi-3 and OpenAI's GPT-4o mini for SMB automation, focusing on cost, deployment flexibility, and task-specific accuracy.
Improving support chat accuracy with custom SLM fine-tuning
Discover how fine-tuning small language models on historical support data provides higher accuracy and fewer hallucinations than generic RAG systems.
Distilling large models into SLM for faster performance: A guide
A technical guide on using knowledge distillation to migrate the intelligence of frontier models like GPT-4 into compact, efficient small language models for local execution.
On-premise SLM hosting costs for mid-sized businesses: A guide
Calculate the real-world ROI of hosting Small Language Models locally versus cloud APIs with our detailed cost analysis for mid-sized enterprises.
Preparing retail product data for SLM fine tuning: A practical guide
A technical guide for retail operators on structuring, cleaning, and formatting product catalogs to fine-tune Small Language Models (SLMs) for business automation.
Small language model security for sensitive customer data: A guide
A practical guide to securing sensitive customer data using private small language models, focusing on on-premise deployment and PII protection for mid-sized firms.
SLM distillation for e-commerce product recommendations: A guide
Discover how to use model distillation to create fast, efficient small language models for real-time product recommendations in your e-commerce store.
Optimizing SLM for Low Latency Mobile Apps: A Technical Guide
Discover practical strategies for deploying small language models on-device to ensure high-speed performance and privacy for your mobile business applications.
How to Fine Tune SLM for Technical Documentation
A practical guide for engineering and ops leads on adapting small language models to understand complex manuals and technical specifications for internal business use.
Best Open Source SLM for Contract Analysis: A Practical Guide
Finding the best open source slm for contract analysis requires balancing reasoning power with private deployment. We compare Phi-3, Mistral, and Llama-3 for legal tasks.
Hardware requirements for running SLM on-premise: A guide for SMBs
A practical guide for SMBs to evaluate the server specs and GPU costs needed to move away from cloud AI dependencies and run small language models on-premise.