?? AI/ML Weekly #376: Build a Chatbot to Query Your Documentation using Langchain and Azure OpenAI
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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.
Learn how DevOps teams can enhance performance and observability in Kubernetes with AI and machine learning techniques. Evaluate pros, cons and use cases.
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 Applications field of use cases for data labeling Chatbots, text, NER, Speech Recognition, Sentiment, etc.
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.
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
Step-by-step instructions for building an image classifier with ResNet, Cloud Storage and BQML.
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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?? News
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.
The neural network pioneer says dangers of chatbots were ‘quite scary’ and warns they could be exploited by ‘bad actors’
Researchers from MIT and Argonne National Laboratory have developed a machine learning technique that could greatly accelerate the process of
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 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.
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