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🔗 From the web

Building an ML Data Pipeline with MinIO and Kubeflow v2.0

Kubeflow Pipelines (KFP) is the most popular feature of Kubeflow but the change from v1 to v2 is significant. Find out how to optimize for MinIO in this hands-on post.

Manage complexity in Kubernetes with AI and machine learning

Learn how DevOps teams can enhance performance and observability in Kubernetes with AI and machine learning techniques. Evaluate pros, cons and use cases.

✅ Build a chatbot to query your documentation using Langchain and Azure OpenAI

LangChain is a Python library for building NLP applications using large language models. It simplifies tasks like prompt management, chaining calls, data augmentation, and memory persistence. The library supports various language models and provides tools for document loading and vector database storage. An example application is demonstrated, where a question-answering tool is built using Azure Functions documentation and LangChain’s capabilities.

11 NLP Use Cases: Putting the Language Comprehension Tech to Work

11 NLP Applications field of use cases for data labeling Chatbots, text, NER, Speech Recognition, Sentiment, etc.

Efficiently Scale LLM Training Across a Large GPU Cluster with Alpa and Ray

AlpaAI and RayIO have collaborated to create open-source frameworks for large language model training with billion-parameter JAX transformer models, offering pipeline parallelism and automatic inter-operator and intra-operator parallelism. The frameworks enable the efficient partition of the model across a large GPU cluster, simplifying model parallelism to make it accessible to everyone. RayIO also offers a distributed compute framework for resource scaling across multiple machines. Benchmarking shows their combined architecture provides scalability and efficient solutions for training LLMs at scale.

The A to Z of LLMOps: Breakdown for Beginners

LLMOps is an emerging field that focuses on managing the entire lifecycle of large language models, from data management and model development to deployment and ethics

You can build your ML classification inside of BigQuery

Step-by-step instructions for building an image classifier with ResNet, Cloud Storage and BQML.

Democratizing AI with open-source language models

OpenAI’s ChatGPT, while popular, isn’t open-source and has usage restrictions. Several open-source alternatives have emerged, such as BLOOM, LLaMA, Vicuna, Dolly, StableLM, MPT-7B, and StarCoder. These models vary in size and licensing, but they offer more accessibility and potential for local use. Projects like Open Assistant aim to develop language models that can run on consumer hardware. Tools like llama.cpp and web-based interfaces facilitate running these models locally, providing a ChatGPT-like experience.

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Cloud Native Microservices With Kubernetes

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OpenAI GPT For Python Developers

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In this practical guide, you will build intelligent real-world applications using GPT-3, DALL-E, Whisper, CLIP, and more tools from the OpenAI and ML ecosystem.

Rest assured, you don’t need to be a data scientist or machine learning engineer to follow this guide

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ℹ️ News

NVIDIA announces new class of supercomputer and other AI-focused data center services

The NVIDIA DGX supercomputer using GH200 Grace Hopper Superchips could be the top of its class. Learn what this and the company’s other announcements mean for enterprise AI and high-performance computing.

‘Godfather of AI’ Geoffrey Hinton quits Google and warns over dangers of misinformation

The neural network pioneer says dangers of chatbots were ‘quite scary’ and warns they could be exploited by ‘bad actors’

Machine Learning Speeds Up Nanoscale X-ray Imaging of Integrated Circuits

Researchers from MIT and Argonne National Laboratory have developed a machine learning technique that could greatly accelerate the process of

Microsoft integrates Azure Machine Learning with Snowflake

Microsoft has integrated Azure Machine Learning with Snowflake, allowing data scientists to access Azure ML capabilities without third-party libraries or data engineering teams. The integration enables the use of Azure’s machine learning algorithms and models for building, training, and deploying ML models. The integration is currently in preview and will be generally available soon.

Microsoft’s AI-powered Designer tool comes to Teams

Microsoft Teams introduces Designer, an AI-powered art generation tool for creating designs for presentations and social media. Other updates include GroupMe integration for Teams calls and the expansion of Teams communities on Windows 11.

⚙️ Tools

Seraphaious/SMS-AI

A Personalised AI Assistant Inspired by ‘Diamond Age, Powered by SMS

kristoferlund/duet-gpt

A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.

vectara/vectara-answer

LLM-powered Conversational AI experience using Vectara

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🐨 AI/ML Weekly #376: Build a Chatbot to Query Your Documentation using Langchain and Azure OpenAI was originally published in FAUN — Developer Community 🐾 on Medium, where people are continuing the conversation by highlighting and responding to this story.