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Building a Private ChatBot with Langchain, Azure OpenAI & Faiss Vector DB for Local Document Query

Perficient

Below is the code snippet of PyPDFLoader to split your PDF document into pages: # Split the PDF document into pages using PyPDFLoader loader = PyPDFLoader() pages = loader.load_and_split("my_document.pdf", encoding="utf-8", language="en", title="My Document") Similarly, you can use Docx2txtLoader to split your DOCX document into paragraphs, as shown (..)

Azure 59
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Prog.ai wants to help recruiters find technical talent by inferring skills from GitHub code

TechCrunch

“For a given project, we can see who is the core architect, who develops the back end or front end, who focuses on the UI/UX, who builds the QA and tests, and who are the technical writers,” Grineva said. simply facilitating “cold-callers” looking to contact developers en masse? ” Under the hood, Prog.ai

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Quality Control: Using Acceptance Testing to Guarantee Product Quality

Altexsoft

Since humanity started manufacturing products en masse, we started wondering: “How can we ensure that all customers are equally satisfied with the end product?” In software development, quality control exists alongside two other concepts: quality assurance (QA) and testing. What is Quality Control? Let’s examine them closer.

Testing 52
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Locators Best Practices for Automation Frameworks

Modus Create

Choosing the best locator is an important skill for QA engineers. QAs can use locators to instruct the Selenium IDE to operate on certain GUI elements – a required step before creating automation scripts. In this article, we’ll break down what you need to consider when choosing a locator. .

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique. We use an ml.t3.medium

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Healthcare NLP 5.0.2 announcement

John Snow Labs

Text2SQL module to translate text prompts into accurate SQL queries Support for ONNX integration of Seq2Seq models such as MedicalTextGenerator , MedicalSummarizer , and MedicalQuestionAnswering 2 new medical QA models and 1 new summarization model optimized with ONNX. 2 New Medical QA Models and 1 New Summarization Model Optimized with ONNX.

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Mythbusting, Secure code is less expensive to develop

Jeremiah Grossman

To that en d best-practice activities such as threat modeling, architectural design reviews, developer training, source code audits, scanning during QA, and more are recommended. It would be fantastic to eliminate security problems using the same money saving logic before they materialize.