H2O.ai recently announced the launch of its new multi-agent platform h2oGPTe, which combines generative and predictive AI models to provide businesses with more consistent responses. Sri Ambati, founder and CEO of H2O.ai, stated that a major demand from enterprises for AI agents is to maintain response consistency. The h2oGPTe platform utilizes H2O.ai's proprietary models Mississippi and Danube, while also allowing access to other models.

With the rapid development of artificial intelligence (AI) technologies in industrial sectors, experts indicate that high-quality data and data governance will be more important than generative technologies. By 2025, companies must focus more on scalable and flexible solutions when adopting AI, rather than solely relying on Generative AI (GenAI). Image note: The picture is generated by AI, authorized by the image service provider Midjourney, based on the analysis by Qlik, the key to fully harnessing AI's potential lies in companies' investments in high-quality, real-time data.

In today's wave of the digital economy, artificial intelligence is reshaping the business landscape at an unprecedented speed. Appier, a Software as a Service (SaaS) company dedicated to leveraging AI for business decision-making, has recently made significant strides in the field of generative AI, crafting a new blueprint for enterprise digital transformation. Artificial intelligence is dramatically altering the business ecosystem at an astonishing pace. A report from McKinsey predicts that generative AI will contribute between $2.6 trillion to $4.4 trillion annually to the global economy. Gartner's data further highlights the remarkable potential.

A recent study indicates that generative AI models, particularly large language models (LLMs), can be used to create a framework that accurately simulates human behavior across various scenarios. This finding provides a powerful new tool for social science research. The researchers initially recruited over 1,000 participants from diverse backgrounds in the United States and conducted in-depth interviews lasting up to two hours, collecting information about their life experiences, opinions, and values. Subsequently, they utilized these interview records along with a large language model to construct.

Recently, Quark launched the 'Academic Search' AI product, which leverages AI technology and a vast database of academic literature to significantly enhance the efficiency of information retrieval, creation, and processing in academic work. According to the latest data from PConline, Quark ranks first in the download volume of PC AI applications in China for 2024, becoming the preferred PC AI product for young people. Compared to regular searches, academic searches have higher requirements for the authority, professionalism, and timeliness of information, and frequently utilize features such as summarization and writing creation, making generative AI highly relevant in the academic field.

After the 2024 U.S. presidential election, the rapid spread of misinformation online severely impacts Americans' perceptions of candidates, as well as public health, climate change, and immigration topics. The development of generative AI, along with its ability to create deepfake content and its tendency to 'hallucinate' facts, may further exacerbate this issue. Image credit: Image generated by AI, licensed from Midjourney. To address this challenge, Norwegian startup Factiverse was born.

Recently, a business research company released its 2024 Generative AI Market Report, showing that the market has rapidly expanded in recent years. According to the report, the generative AI market is expected to grow from $13.64 billion in 2023 to $18.1 billion in 2024, with a compound annual growth rate (CAGR) of 32.7%. This growth is mainly attributed to increased computing power, widespread availability of data, continuous R&D advancements, increased industry applications, and breakthroughs in deep learning. Image Source Note: The image was generated by AI, image usage authorized.

According to a study by IDC, 92% of enterprises are actively leveraging AI technologies to enhance productivity, customer engagement, revenue growth, cost management, and product innovation across multiple key areas. This study was commissioned by Microsoft and titled 'The Business Opportunities of AI'. The report shows that as enterprises invest in AI, their return on investment (ROI) significantly improves. The research indicates that the adoption of generative AI is rapidly expanding, expected to rise from 55% in 2023 to 75% in 2024. Currently, businesses are...

A new study shows that since the release of ChatGPT, generative AI has significantly affected the freelance market, especially in roles that are easily automated. The study, reported by the Harvard Business Review, analyzed 1.4 million job listings posted on a major freelance platform from July 2021 to July 2023. The research found that compared to labor-intensive jobs, the demand for 'automation-prone' positions decreased by an average of 21% after the launch of ChatGPT.

In the field of generative AI, Apple's efforts seem to be primarily focused on mobile devices, especially the latest iOS 18 system. However, the new Apple M4 chip demonstrates powerful performance in the recently released Mac Mini and MacBook Pro, enabling effective local operation of the most powerful open-source large language models (LLMs) available today, such as Meta's Llama-3.1405B, Nvidia's Nemotron70B, and Qwen.

MinIO is a popular open-source S3 compatible object storage system that is widely used for various data storage needs due to its excellent performance and ease of use. However, with the rapid rise of generative AI, MinIO has recognized the opportunity to introduce an AI-centric object storage solution. Therefore, today MinIO officially launched AIStore. AB Periasamy, the founder and CEO of MinIO, has been cautious about adding new features.

Recently, Amazon announced a significant investment of $110 million for artificial intelligence (AI) research aimed at reducing reliance on Nvidia and advancing the development of its own chips. The funding will support generative AI research at universities under the project name 'Build on Trainium.' The project will provide researchers with the opportunity to use Trainium chips to develop new AI architectures, machine learning libraries, and solutions for large-scale distributed AWS Train.

According to the latest forecast from research firm IDC, global spending on artificial intelligence (AI) technologies is expected to reach $337 billion by 2025, and this figure is projected to double to $749 billion by 2028. As IT leaders across industries continue to drive the implementation of AI strategies, future application scenarios will be increasingly diverse. Image source credit: Image generated by AI, image provided by licensing service provider Midjourney. In line with this trend, more and more companies are starting to experiment with generative AI.

The rapid development of generative AI has raised the challenge of comprehensively evaluating its performance. A plethora of models have emerged, each showcasing increasingly impressive results. However, the pressing question remains: how do we assess the effectiveness of these text-to-image models? Traditional evaluation methods often rely on subjective visual assessments or simple metrics like CLIPScore, which frequently fail to capture the intricate details found in complex text prompts, such as relationships between objects and logical reasoning. This leads to inaccurate evaluation outcomes for many text-to-image models.

Microsoft recently released a white paper that deeply analyzes the malicious use of generative artificial intelligence (AI), including issues such as fraud, child sexual abuse materials, election manipulation, and non-consensual private imagery. The company emphasizes that these issues are not only technical challenges but also significant threats to society. Image source credit: Image generated by AI, image licensed from Midjourney. According to Microsoft’s white paper, criminals are increasingly leveraging the capabilities of generative AI to commit wrongdoing. These malicious acts include the use of AI-generated falsehoods.

Amazon Web Services (AWS) recently announced the launch of the 'Generative AI Partner Innovation Alliance' (GenAI Partner Innovation Alliance) aimed at expanding the reach of its Generative AI Innovation Center program (GenAIIC) through system integrators (SIs) and consulting firms. Launched in June 2023, this program is designed to connect customers with AWS's artificial intelligence and machine learning scientists as well as strategic experts to collaboratively envision, identify, and develop generative solutions.

Netflix is intensifying its focus on artificial intelligence in the gaming sector. Mike Verdu, who has led the company's gaming division for three years, is set to take on the role of Vice President for Generative AI in Gaming, demonstrating Netflix's determination to advance in the gaming arena. Verdu shared his vision for the new position on LinkedIn, emphasizing a "Creator First" philosophy and positioning AI as a catalyst and booster for game development. In his view, generative AI will bring revolutionary changes to game development and player experiences.