Programming
OpenAI recently released its open-source Agents SDK. The documentation looked interesting, so I decided to give it a try. The SDK supports multiple agents working together using “handoffs”. The example I am using in today’s article involves 3 agents: 1) Agent who specializes in answering questions on Planetary positions 2) Agent who handles everything else […]
Agents and Agent frameworks are hot topics these days. LangChain, crewAI, LangGraph, Microsoft Semantic Kernel, and Microsoft Autogen are some of the popular agent frameworks. Smolagents is a relatively new entry in this arena. It is a lightweight agent framework from the well-known HuggingFace platform. In today’s article, I want to show how easy it […]
Let us continue our discussion on using Mathematica to interact with OpenAI (you may want to go through the earlier article as well). The simplest function to interact with the LLM is LLMSynthesize[]. As you might have guessed, this is a “sync” (non-streaming) call. What if you expect a long response and you don’t want […]
I normally use Python’s LangChain framework to communicate with OpenAI API. For a change, I wanted to see if Go has any libraries to access OpenAI and other LLMs. Interestingly I found that LangChainGo is a port of LangChain for Golang! I decided to implement a simple Completetion request in both streaming and non-streaming modes. Turned […]
Allegro Common Lisp ver 11.0 introduced support for OpenAI LLMs. In this article, let us look at some of the functions for interacting with OpenAI. First we need to specify basic parameters such as the API key, LLM to use, Temperature, etc. I have defined a convenient function configure-openai to do this (full source is included […]
In the last article I discussed an interesting word puzzle and showed how to solve it using Prolog. Here is the problem statement: “You are given two words of the same length. You have to transform the first word into the second word, by changing only one letter at a time. The additional constraint is that […]
In today’s article, I want to share an interesting word puzzle, and then show how to solve it in Prolog. Here is the puzzle: You are given two words of the same length. You have to transform the first word into the second word, by changing only one letter at a time. The additional constraint […]
Recently I came across a nice article by Jose Crespo, where the author stresses that the future of programming revolves around the application of math concepts such as Functor, Monads, Folds, etc. In addition, he argues that familiarity with C/C++ is essential in this modern AI age. The author goes through a toy example that uses […]
In an earlier article, I explained how to use OpenAI from Wolfram Mathematica ver 14.1. This latest release of Wolfram supports Semantic Search as well. In today’s article, let me discuss this feature. As in the case of using LLMs, using Semantic Search requires an account with one of the supported vendors. I will continue […]
I had written an earlier article showing how to use OpenAI models from Mathematica ver 14.0. Wolfram Mathematica ver 14.1 was released recently, with several improvements in the area of LLMs. Of course, there are many other core additions as well, but our focus is on LLMs in this article. This version supports many vendors other […]
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