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Constructing a RAG chain using LangChain Expression Language (LCEL)

QA RAG with Self Evaluation IIFor this variation, we make a change to the evaluation procedure. Along with the question-answer pair, we also pass the retrieved context to the evaluator LLM.To perform this, we...

Unlocking supply chain resiliency

To achieve greater visibility into its supply chain, fast-food restaurant giant McDonald’s teamed up with supplier Golden State Foods in a pilot project that uses radio-frequency identification (RFID) technology to routinely track fresh beef’s...

Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python) Level Up Coding

In today’s recreational coding exercise, we learn the way to fit model parameters to data (with error bars) and acquire the more than likely distribution of modeling parameters that best explain the info, called...

Recent products forecasting : Get out of the blur quicker with machine learning ! Recent products introduction is vital topic in Supply Chain management A Machine...

Supply Chain professionals describe the present business environment with 4 drivers : olatility, ncertainty, omplexity and mbiguity (). Firms are working on gaining and adapt their products to behavioral changes, not to...

Next-Gen Ai Powered Blockchain. Let me introduce you to Neutrinos… | by Neutrinos Chain | Mar, 2023

Let me introduce you to Neutrinos Blockchain🔥 the subsequent generation Ai powered Blockchain.Neutrinos Blockchain is a platform that mixes the ability of blockchain with the intelligence of AI, making a system that's secure, efficient,...

Introduction to Markov chain Monte Carlo (MCMC) Methods

Markov chains, Metropolis-Hastings, Gibbs sampling, and the way it pertains to Bayesian inferenceThis post is an introduction to Markov chain Monte Carlo (MCMC) sampling methods. We are going to consider two methods specifically, namely...

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