Unite.AI

JANUARY 1, 2025

AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation. Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions. The average cost of a data breach in financial services is $4.45

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

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AI Weekly

OCTOBER 19, 2023

clkmg.com In The News The BBC is blocking OpenAI data scraping The BBC, the UK’s largest news organization, laid out principles it plans to follow as it evaluates the use of generative AI — including for research and production of journalism, archival, and “personalized experiences.”

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Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). The focus would be on developing AI systems that can reason ethically and align with societal values.

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Towards AI

DECEMBER 16, 2024

Multi-Modal Applications: Combine with NLP models to create AI assistants that interpret both text and images. By introducing novel training techniques and robust evaluation methods, the paper emphasizes reducing bias, enhancing robustness, and improving generalization capabilities in AI models.

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AssemblyAI

AUGUST 5, 2024

  At AssemblyAI, we believe that AI systems are only as good as the benchmarks and evaluations they are measured against. Objective evaluations and benchmarks validate systems' performances, so users know the AI models they’re using will solve real-world challenges with real-world applications. 

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Unite.AI

FEBRUARY 26, 2025

AI development is evolving unprecedentedly, demanding more power, efficiency, and flexibility. With the global AI market projected to reach $1.8 trillion by 2030 , machine learning brings innovations across industries, from healthcare and autonomous systems to creative AI and advanced analytics.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Marktechpost

OCTOBER 5, 2024

Another area where gemma-2-2b-jpn-it excels is in natural language processing (NLP) research. Researchers can use this model to experiment with various NLP techniques, develop new algorithms, and contribute to advancing the field. This makes it suitable for research, education, and knowledge exploration.

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Marktechpost

JUNE 19, 2024

The study provides a theoretical framework and empirical evidence showing that such generative models can enhance performance. Chess has been integral to AI development since its inception, with early explorations by Claude Shannon and Alan Turing. If you like our work, you will love our newsletter.

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Unite.AI

SEPTEMBER 18, 2023

NLP in particular has been a subfield that has been focussed heavily in the past few years that has resulted in the development of some top-notch LLMs like GPT and BERT. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

included the Slate family of encoder-only models useful for enterprise NLP tasks. We’re happy to now introduce the first iteration of our IBM-developed generative foundation models, Granite. ” The initial release of watsonx.ai The synthetic data generator service in watsonx.ai

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Unite.AI

SEPTEMBER 24, 2024

However, scaling AI across an organization takes work. It involves complex tasks like integrating AI models into existing systems, ensuring scalability and performance, preserving data security and privacy, and managing the entire lifecycle of AI models.

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Marktechpost

AUGUST 22, 2024

The result is a smaller, more efficient model that retains much of the performance of the original, larger model. The Process of Model Pruning and Distillation Model pruning is a technique for making AI models smaller and more efficient by removing less critical components.

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Unite.AI

JUNE 21, 2024

GPT-4o: Evolution and Capabilities GPT-4o, among the latest models in OpenAI’s series of Generative Pre-trained Transformers , represents a significant step forward from its predecessor, GPT-3.5. Transfer learning enhancement could enable the model to learn from related domains and transfer knowledge effectively.

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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Its high-performance architecture accelerates AI research, benefiting healthcare, finance, and entertainment industries.

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Natural Language Processing Computer Vision Robotics Machine Learning 52

ODSC - Open Data Science

MARCH 12, 2025

Takeaway: The industrys focus has shifted from building models to making them robust, scalable, and maintainable. The Boom of Generative AI and Large Language Models(LLMs) 20182020: NLP was gaining traction, with a focus on word embeddings, BERT, and sentiment analysis.

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Unite.AI

JULY 1, 2024

At the core of Seekr's technology is an independent search engine, powered by proprietary AI and utilizing natural language processing (NLP) to produce a Seekr Score and Political Lean Indicator. It allows enterprises to leverage their data securely, to rapidly develop AI they can rely on optimized for their industry.

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IBM Journey to AI blog

SEPTEMBER 7, 2023

They are widely applicable across industries, and support other NLP tasks such as content generation, insight extraction and retrieval-augmented generation (a framework for improving the quality of response by linking the model to external sources of knowledge) and named entity recognition (identifying and extracting key information in a text).

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IBM Journey to AI blog

DECEMBER 15, 2023

The diversity and accessibility of open-source AI allow for a broad set of beneficial use cases, like real-time fraud protection, medical image analysis, personalized recommendations and customized learning. This availability makes open-source projects and AI models popular with developers, researchers and organizations.

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Marktechpost

MAY 6, 2024

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. The Llama project is expected to spur responsible AI adoption across various areas and boost innovation as it develops.

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Large Language Models Natural Language Processing NLP Responsible AI 117

Unite.AI

OCTOBER 12, 2023

Another key takeaway from that experience is the crucial role that data plays, through quantity and quality, as a key driver of AI model capabilities and performance. In fact, as I noted earlier, one key takeaway for me from my work with speech science and machine learning was the crucial role data played in the AI model life cycle.

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IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. NLP techniques help them parse the nuances of human language, including grammar, syntax and context. Most experts categorize it as a powerful, but narrow AI model.

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Towards AI

FEBRUARY 17, 2025

The exceptional capabilities of DeepSeek AI result from its unique architectural design advanced training methods and cutting-edge specifications. In this blog, well explore the DeepSeek AI model architecture in detail, uncovering the technical innovations that make it a standout in the crowded field of generative AI.

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Unite.AI

SEPTEMBER 19, 2024

Pricing (as of 2024) Model Input Token Price Output Token Price Batch API Discount GPT-4o $5.00 / 1M tokens $15.00 / 1M tokens 50% discount for Batch API GPT-4o Mini $0.15 / 1M tokens $0.60 / 1M tokens 50% discount for Batch API GPT-3.5 The Claude series has become a popular choice for industries requiring reliable and safe AI solutions.

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Unite.AI

AUGUST 5, 2024

As the demand for AI-powered solutions continues to soar across industries, Groq is positioning itself as a formidable challenger to established players. The company's focus on inference – the process of running pre-trained AI models – could give it a unique edge in a market hungry for more efficient and cost-effective AI hardware solutions.

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Large Language Models Natural Language Processing AI AI 157

Marktechpost

JUNE 8, 2024

Work with generative artificial intelligence (AI) models in Azure Machine Learning This course explores the application of generative AI models for NLP in Azure Machine Learning, covering topics such as understanding the Transformer architecture and working with large language models (LLMs).

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AWS Machine Learning Blog

MARCH 14, 2025

Both features rely on the same LLM-as-a-judge technology under the hood, with slight differences depending on if a model or a RAG application built with Amazon Bedrock Knowledge Bases is being evaluated. Jesse Manders is a Senior Product Manager on Amazon Bedrock, the AWS Generative AI developer service.

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IBM Journey to AI blog

AUGUST 16, 2023

While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Google, for example, has developed Bard , its AI chatbot, which is powered by its own language engine called PaLM 2.

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Unite.AI

JANUARY 12, 2024

These innovations signal a shifting priority towards multimodal, versatile generative models. Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development.

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Unite.AI

OCTOBER 22, 2024

From recommending products online to diagnosing medical conditions, AI is everywhere. However, there is a growing problem of efficiency that researchers and developers are working hard to solve. As AI models become more complex, they demand more computational power, putting a strain on hardware and driving up costs.

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Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 144

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. That’s where the need for a curated foundation model—and trusted governance—becomes essential.

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Metadata Explainability Automation Explainable AI 220

Unite.AI

JANUARY 25, 2024

This unprecedented increase signals a paradigm shift in the realm of technological development, marking generative AI as a cornerstone of innovation in the coming years. This surge is intricately linked with the advent of ChatGPT in late 2022, a milestone that catalyzed the tech community's interest in generative AI.

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Marktechpost

SEPTEMBER 3, 2024

As industries increasingly seek cost-effective and scalable AI solutions, miniG emerges as a transformative tool, setting a new standard in developing and deploying AI models. Background and Development of miniG miniG, the latest creation by CausalLM, represents a substantial leap in the field of AI language models.

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Unite.AI

OCTOBER 22, 2024

At Appen, we work at the intersection of AI and data, and my experience has allowed me to lead the company and navigate complexities in the rapidly evolving AI space, moving through major developments like voice recognition, NLP, recommendation systems, and now generative AI.

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