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Council Post: Demystifying The GenAI Marketscape: Shakers, Makers And Takers
Original article seen at: www.forbes.com on November 8, 2023
tldr
- 🔍 GenAI has widespread use cases and is categorized into shakers, makers, and takers.
- 🏢 Shakers include Google AI, OpenAI, and Nvidia, while makers include Amazon and Salesforce.
- 💡 Techniques to improve LLMs include RAG, RLHF, and IFT.
- 💰 The cost of GenAI solutions can range from nothing to millions.
summary
Generative AI (GenAI) is a profound technology with widespread use cases such as disease prevention, data sorting, and creative projects. This article categorizes the GenAI market into shakers, makers, and takers. Shakers are organizations doing primary research and development around deep neural net foundational models, such as Google AI, OpenAI, and Nvidia. Makers are organizations that use domain-specific large language models (LLMs) to improve their products and services, like Amazon and Salesforce. Takers are organizations that consume public LLM services through APIs or chat interfaces without customization. Techniques used to improve the alignment and accuracy of LLMs include retrieval augmented generation (RAG), reinforcement learning from human feedback (RLHF), and instruction fine-tuning (IFT). The cost of acquiring and developing GenAI solutions can range from nothing to millions of dollars depending on the specific use case and scale of the problem.starlaneai's full analysis
The article provides a comprehensive overview of the GenAI landscape, categorizing the market into shakers, makers, and takers. This categorization provides a clear understanding of the roles different organizations play in the GenAI ecosystem. The article also highlights the potential of GenAI in various applications, suggesting a promising future for this technology. However, it also notes the challenges in leveraging GenAI, such as the high cost of development and the need for data privacy and bias considerations. The article suggests that collaboration among makers can address these challenges, indicating a potential trend towards more collaborative efforts in the AI industry. Overall, the article suggests that GenAI is a significant development in the AI industry with the potential to drive significant changes in various sectors.
* All content on this page may be partially written by a clever AI so always double check facts, ratings and conclusions. Any opinions expressed in this analysis do not reflect the opinions of the starlane.ai team unless specifically stated as such.
starlaneai's Ratings & Analysis
Technical Advancement
85 The article discusses the profound impact of GenAI, which is a significant technical advancement in the AI industry.
Adoption Potential
70 The widespread use cases of GenAI suggest a high potential for adoption across various industries.
Public Impact
75 GenAI has the potential to impact the public significantly through its various applications such as disease prevention and creative projects.
Innovation/Novelty
80 The concept of categorizing the GenAI market into shakers, makers, and takers is a novel approach in understanding the landscape.
Article Accessibility
60 The article is moderately accessible, with some technical jargon that may be difficult for a general audience to understand.
Global Impact
70 GenAI has a global impact due to its wide range of applications and the involvement of major companies worldwide.
Ethical Consideration
65 The article briefly touches on the importance of data privacy and bias in the use of LLMs, indicating some consideration of ethical issues.
Collaboration Potential
80 The article suggests high collaboration potential, especially among makers who can solve complex operational problems without compromising data.
Ripple Effect
75 The ripple effect of GenAI is high, as it can affect adjacent industries or sectors and spark interdisciplinary collaborations.
Investment Landscape
80 The diverse range of GenAI applications and the involvement of major companies suggest a significant potential impact on the AI investment landscape.