The MLOps Blog

MARCH 20, 2025

Capturing the user interactions and refining prompts with few-shot learning helps LLMs adapt to evolving language and user preferences. Large Language Models (LLMs) perform exceptionally well on various Natural Language Processing (NLP) tasks, such as text summarization, question answering, and code generation.

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IBM Journey to AI blog

OCTOBER 20, 2023

.” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

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ODSC - Open Data Science

JANUARY 7, 2025

Natural Language Processing (NLP) has emerged as a dominant area, with tasks like sentiment analysis, machine translation, and chatbot development leading the way. Neural networks form the core of deep learning applications, allowing for flexible, multi-layered learning processes.

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Pickl AI

DECEMBER 2, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

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Pickl AI

NOVEMBER 25, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Familiarise yourself with cloud platforms like AWS, Google Cloud Platform , or Microsoft Azure for storing and processing large datasets.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Chatbots Life

OCTOBER 7, 2024

During the next stage, Natural Language Processing (NLP) dissects the text, deciphers its meaning, and identifies the person’s intent. It allows mobile apps to communicate with Microsoft Azure Bot via Direct Line or any other bot framework. Embeddable Voice Assistant is a technology developed by Master of Code.

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Dataconomy

MARCH 7, 2025

These are the best AI apps you can use in 2025 So, we cut through the noise. IBM Watson A pioneer in AI-driven analytics, IBM Watson transforms enterprise operations with natural language processing, machine learning, and predictive modeling. But lets be honest: not all AI tools are built equal. Some are gimmicky.

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AssemblyAI

JANUARY 23, 2025

While it does support numerous services, including Google Cloud Speech-to-Text, CMU Sphinx, Wit.ai, Azure, Houndify, IBM Watson, and Snowboy, most of these are cloud-based. However, it’s important to note that this library is not a standalone solution but rather a wrapper for other speech recognition technologies.

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