Abhishek GuptainAI AdvancesUsing AI in your IDE to work with open-source code basesLet’s see how we can add enhancements to the langchaingo project with Amazon Q Developer support in VS CodeSep 26Sep 26
Abhishek GuptainITNEXTBuild generative AI applications in Go using Amazon Titan Text Premier modelUse Amazon Titan Text Premier model with the langchaingo packageSep 3Sep 3
Abhishek GuptainITNEXTUse Mistral AI to build generative AI applications with GoLearn how to use Mistral AI on Amazon Bedrock with AWS SDK for GoAug 9Aug 9
Abhishek GuptainITNEXTUse Guardrails for safeguarding generative AI applications built using custom or third-party modelsLearn how the ApplyGuardrail API can provide a flexible way to integrate Guardrails with your generative AI applicationsJul 181Jul 181
Abhishek GuptainITNEXTUse Guardrails to prevent hallucinations in generative AI applicationsWith Contextual grounding check, you can prevent hallucinations by detecting irrelevant and ungrounded LLM responses.Jul 15Jul 15
Abhishek GuptainITNEXTMaintain chat history in generative AI apps with ValkeyIntegrate Valkey with LangChainJul 1Jul 1
Abhishek GuptainITNEXTUse AWS Generative AI CDK constructs to speed up app developmentAssemble and deploy the infrastructure for a RAG solution using AWS CDK for PythonJun 26Jun 26
Abhishek GuptainITNEXTGetting started with Valkey using JavaScriptRun existing Redis apps with Valkey and learn how to use it with LangChainJun 17Jun 17
Abhishek GuptainITNEXTA single API for all your conversational generative AI applicationsUse the Converse API in Amazon Bedrock to create generative AI applications using single API across multiple foundation modelsJun 10Jun 10
Abhishek GuptainITNEXTAdd flexibility to your RAG applications in Amazon BedrockUse the right configuration options for your Knowledge BaseJun 4Jun 4
