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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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JP Morgan AI Research Introduces FlowMind: A Novel Machine Learning Approach that Leverages the Capabilities of LLMs such as GPT to Create an Automatic Workflow Generation System

Marktechpost

Existing research in Robotic Process Automation (RPA) has focused on rule-based systems like UiPath and Blue Prism, which automate routine tasks such as data entry and customer service. Frameworks like Langchain and HuggingFace’s Transformer Agent further integrate LLMs with external data for adaptive responses.

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AI News Weekly - Issue #383: New York Daily News, Chicago Tribune, and others sue OpenAI and Microsoft - May 2nd 2024

AI Weekly

In the News Coalition of news publishers sue Microsoft and OpenAI A coalition of major news publishers has filed a lawsuit against Microsoft and OpenAI, accusing the tech giants of unlawfully using copyrighted articles to train their generative AI models without permission or payment. Planning a GenAI or LLM project?

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Microsoft Researchers Introduce InsightPilot: An LLM-Empowered Automated Data Exploration System

Marktechpost

Additionally, LLM hallucination is an infamous issue that causes LLMs to generate unreliable content. To tackle the shortcomings of existing models, researchers at Microsoft have released InsightPilot, a system that automates the process of data exploration using LLMs. If you like our work, you will love our newsletter.

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UC Berkeley Researchers Introduce LLMCompiler: An LLM Compiler that Optimizes the Parallel Function Calling Performance of LLMs

Marktechpost

LLMCompiler enables parallel execution of function calls through its components: LLM Planner, Task Fetching Unit, and Executor. LLMCompiler is a framework that enables LLMs to perform parallel function calls, enhancing efficiency and accuracy in multi-function tasks. latency speedup, 6.7x cost savings, and 9% accuracy improvement.

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Meet GPTCache: A Library for Developing LLM Query Semantic Cache

Marktechpost

However, the costs associated with LLM API calls might become significant when the application gains popularity and experiences increased traffic levels. When processing many queries, LLM services may also have lengthy wait periods. An open-source GPTCache program can make LLMs faster by caching their output answers.

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Apple’s Next Move: Developing ‘Apple GPT’ and Cutting-Edge Generative AI Tools to Challenge OpenAI

Marktechpost

The chatbot is built on Apple’s proprietary large language model (LLM) framework, known as “Ajax.” ” Apple has partnered with Google Cloud to accelerate the development process and utilized the Google JAX framework, specifically designed to enhance machine learning research.