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AI Development AI Research Large Language Models 
Unite.AI
SEPTEMBER 18, 2024
The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit GPT-4o → 3.
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). This could redefine how knowledge transfer and innovation occur.
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Unite.AI
OCTOBER 18, 2023
Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. Developers worldwide are exploring the potential applications of LLMs. Large language models are intricate AI algorithms. So let’s begin.
AI News
JULY 29, 2024
This dichotomy has led Bloomberg to aptly dub AI development a “huge money pit,” highlighting the complex economic reality behind today’s AI revolution. At the heart of this financial problem lies a relentless push for bigger, more sophisticated AI models.
246 
AI News
NOVEMBER 28, 2024
Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. First, there is the cost of training large models, often running into tens of millions of dollars.
Marktechpost
OCTOBER 4, 2024
Multimodal large language models (MLLMs) represent a cutting-edge area in artificial intelligence, combining diverse data modalities like text, images, and even video to build a unified understanding across domains. is poised to address key challenges in multimodal AI. The post Apple AI Research Introduces MM1.5:
Marktechpost
APRIL 1, 2024
With the incorporation of large language models (LLMs) in almost all fields of technology, processing large datasets for language models poses challenges in terms of scalability and efficiency. It inspires intrigue about its potential impact on data processing.
Marktechpost
DECEMBER 25, 2023
Amidst the dynamic evolution of advanced large language models (LLMs), developers seek streamlined methods to string prompts together effectively, giving rise to sophisticated AI assistants, search engines, and more. If you like our work, you will love our newsletter.
Unite.AI
AUGUST 21, 2024
This legal interpretation could have far-reaching consequences for AI development and regulation. Research and Development Implications: A court-mandated definition of AGI could significantly impact how companies approach AI research and development.
307 
Analytics Vidhya
FEBRUARY 24, 2024
Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode.
318 
Unite.AI
JANUARY 6, 2025
Training large language models (LLMs) has become out of reach for most organizations. With costs running into millions and compute requirements that would make a supercomputer sweat, AI development has remained locked behind the doors of tech giants. SALT might just do the same for AI development.
189 
AI News
AUGUST 2, 2024
These trends highlight the growing tension between rapid AI development and environmental sustainability in the tech sector. The root of the problem lies in AI’s immense appetite for computing power and electricity. However, these efforts are being outpaced by the breakneck speed of AI development and deployment.
303 
Unite.AI
FEBRUARY 15, 2024
Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? Could you discuss how LLMs and Generative AI have changed the workflow at ManageEngine?
162 
Marktechpost
AUGUST 27, 2023
In the landscape of coding tools, Code Llama stands out as a transformative tool that holds the potential to reshape the way developers approach their tasks. By offering an open and community-driven approach, Code Llama invites innovation and encourages responsible and safe AI development practices.
Unite.AI
DECEMBER 29, 2023
The Emergence of Small Language Models In the rapidly evolving world of artificial intelligence, the size of a language model has often been synonymous with its capability. Smaller language models, once overshadowed by their larger counterparts, are emerging as potent tools in various AI applications.
AI News
AUGUST 20, 2024
AI capabilities have exploded over the past two years, with large language models (LLMs) such as ChatGPT, Dall-E, and Midjourney becoming everyday use tools. As you’re reading this article, generative AI programs are responding to emails, writing marketing copies, recording songs, and creating images from simple inputs.
269 
Marktechpost
AUGUST 9, 2024
LG AI Research has recently announced the release of EXAONE 3.0. The release as an open-source large language model is unique to the current version with great results and 7.8B LG AI Research is driving a new development direction, marking it competitive with the latest technology trends.
111 
Marktechpost
NOVEMBER 16, 2024
This article explores the insights from Kili Technology’s new multilingual study and its associated findings, emphasizing how leading models like CommandR+, Llama 3.2, This technique involves providing the model with carefully selected examples, thereby conditioning it to replicate and extend that pattern in harmful or misleading ways.
Marktechpost
JUNE 19, 2024
Meta’s Fundamental AI Research (FAIR) team has announced several significant advancements in artificial intelligence research, models, and datasets. These contributions, grounded in openness, collaboration, excellence, and scale principles, aim to foster innovation and responsible AI development.
124 
Marktechpost
DECEMBER 28, 2023
Large language models (LLMs), particularly exemplified by GPT-4 and recognized for their advanced text generation and task execution abilities, have found a place in diverse applications, from customer service to content creation. If you like our work, you will love our newsletter.
132 
Towards AI
DECEMBER 16, 2024
Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Well, Ive got you covered!
99 
APRIL 19, 2023
Unstructured Vector databases, for the uninitiated, are geared toward storing such unstructured data, like images, videos and text, allowing people (and systems) to search unlabeled content, which is particularly important for extending the use cases of large language models (LLMs) such as GPT-4 (which powers ChatGPT).
123 
Marktechpost
APRIL 6, 2024
Large Language Models (LLMs) reach their full potential not just through conversation but by integrating with external APIs, enabling functionalities like identity verification, booking, and processing transactions. Two significant benefits are encouraging ownership and ensuring that models are customized to unique needs.
111 
AI News
JANUARY 9, 2025
The Alliance is building a framework that gives content creators a method to retain control over their data, along with mechanisms for fair reward should they choose to share their material with AI model makers. It’s a more ethical basis for AI development, and 2025 could be the year it gets more attention.
211 
Unite.AI
OCTOBER 15, 2024
Known as “ Thought Preference Optimization ” (TPO), this method aims to make large language models (LLMs) more thoughtful and deliberate in their responses. The collaborative effort behind TPO brings together expertise from some of the leading institutions in AI research.
AI Weekly
JULY 11, 2024
The decision comes as regulatory bodies intensify their scrutiny of big tech’s involvement in AI development and deployment. livescience.com AI revolution in US education: How Chinese apps are leading the way The success of Chinese AI education applications like Question.AI dirjournal.org Could AIs become conscious?
230 
Marktechpost
DECEMBER 16, 2023
Large language models such as GPT-3 require substantial energy due to their computational needs during training and inference. The energy usage varies significantly based on factors like the model’s size, task complexity, hardware specifications, and operational duration. Check out the Paper.
128 
Towards AI
DECEMBER 16, 2024
Last Updated on December 17, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI.
101 
Unite.AI
JULY 5, 2024
Large Language Models (LLMs) are powerful tools not just for generating human-like text, but also for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where real-world data is scarce, expensive, or privacy-sensitive.
259 
Marktechpost
SEPTEMBER 5, 2024
Several significant benchmarks have been developed to evaluate language understanding and specific applications of large language models (LLMs). These limitations have driven the development of more targeted research and resources to enhance the detection and mitigation of malicious language using LLMs.
Unite.AI
JUNE 21, 2024
Unlike narrow AI, which excels in specific areas like language translation or image recognition, AGI would possess a broad, adaptable intelligence, enabling it to generalize knowledge and skills across diverse domains. The feasibility of achieving AGI is an intensely debated topic among AI researchers.
189 
Unite.AI
AUGUST 1, 2024
Moderated by Anita Ramaswamy, financial columnist at The Information, I sat down with Quora CEO, Adam D’Angelo to discuss the road to AGI and share insights into development timelines, real-world applications, and principles for responsible deployment. It feels like emergent behavior.
Unite.AI
JULY 15, 2024
Lastly, the model is said to engage in more advanced reasoning tasks, potentially bridging the gap between narrow AI and more general intelligence. These advancements could mark a significant milestone in AI development. The broader implications for AI development are significant.
182 
Unite.AI
JANUARY 3, 2024
ChatGPT is an impressively capable conversational AI system that can understand natural language prompts and generate thoughtful, human-like responses on a wide range of topics. One of the most promising new contenders aiming to surpass ChatGPT is Claude, created by AI research company Anthropic.
278 
Towards AI
DECEMBER 16, 2024
Last Updated on December 17, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI.
90 
Towards AI
DECEMBER 16, 2024
Last Updated on December 17, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI.
88 
Unite.AI
SEPTEMBER 10, 2024
In his spare time, Eric enjoys playing with ChatGPT and large language models and craft cocktail making. What inspired you to co-found Encord, and how did your experience in particle physics and quantitative finance shape your approach to solving the “data problem” in AI? He holds an S.M.
264 
Unite.AI
JULY 10, 2024
AMD has made a big move to strengthen its position in the AI space by buying Silo AI , Europe’s largest private AI lab. The $665m deal is a key part of AMD’s AI push. Silo AI was founded in 2017 and is based in Helsinki, Finland. This is especially important as AMD looks to take on Nvidia in the AI computing space.
Marktechpost
NOVEMBER 29, 2024
In recent years, the evolution of artificial intelligence has brought forth increasingly sophisticated large language models (LLMs). However, training these models remains a complex challenge due to their immense computational requirements. If you like our work, you will love our newsletter.
Marktechpost
JANUARY 21, 2025
Flash Thinking model , an enhanced version of its Gemini AI series with advanced reasoning abilities. This latest release builds on Googles expertise in AI research and incorporates lessons from earlier innovations, such as AlphaGo, into modern large language models.
Marktechpost
DECEMBER 24, 2023
A pressing concern has surfaced in large language models (LLMs), drawing attention to the safety implications of downstream customized finetuning. This ethical consciousness adds depth to the paper’s contributions, aligning it with broader discussions on responsible AI development and deployment.
116 
Towards AI
DECEMBER 16, 2024
Last Updated on December 17, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI.
82 
AI Weekly
JANUARY 9, 2025
Here are our five biggest trends for 2024: therobotreport.com Nvidia launches new AI development tools for autonomous robots and vehicles Nvidia Corp. Here are our five biggest trends for 2024: therobotreport.com Nvidia launches new AI development tools for autonomous robots and vehicles Nvidia Corp.
130 
Marktechpost
OCTOBER 18, 2024
As a result, the potential for real-time optimization of agentic systems could be improved, slowing their progress in real-world applications like code generation and software development. The lack of effective evaluation methods poses a serious problem for AI research and development.
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