10 Useful LangChain Components for Your Next RAG System
LangChain is a robust framework conceived to simplify the developing of LLM-powered applications — with LLM, of course, standing for large language model.
The Role of Domain Knowledge in Machine Learning: Why Subject Matter...
Machine learning (ML) is considered the largest subarea of artificial intelligence (AI) , studying the development of software systems that learn from data by...
Transforming credit decisions using generative AI with Rich Data Co and...
This post is co-written with Gordon Campbell, Charles Guan, and Hendra Suryanto from RDC.
The mission of Rich Data Co (RDC) is to broaden access...
Build agentic AI solutions with DeepSeek-R1, CrewAI, and Amazon SageMaker AI
AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. According to...
Revolutionizing business processes with Amazon Bedrock and Appian’s generative AI skills
This blog post is co-written with Louis Prensky and Philip Kang from Appian.
The digital transformation wave has compelled enterprises to seek innovative solutions to...
Automate bulk image editing with Crop.photo and Amazon Rekognition
Evolphin Software, Inc. is a leading provider of digital and media asset management solutions based in Silicon Valley, California. Crop.photo from Evolphin Software is...
Optimizing Memory Usage in PyTorch Models
Even though more than 40% of businesses say they’re pleased with AI, many are unhappy with out-of-the-box solutions, resulting in a need for local...
An Introduction to Logarithms in Machine Learning with Python
Logarithms are a cornerstone of mathematics, statistics, and data science, and even show up in all sorts of places in machine learning.
A Complete Introduction to Using BERT Models
Overview This post is divided into five parts; they are: • Why BERT Matters • Understanding BERT's Input/Output Process • Your First BERT Project...
The 2025 Machine Learning Toolbox: Top Libraries and Tools for Practitioners
2024 was the year machine learning (ML) and artificial intelligence (AI) went mainstream, affecting peoples' lives in ways they never before could have.
