None Can Use AI Like Game Developers

If you think generative AI chatbots and image-creation tools are crazy, think again. Generative AI in the gaming world is outright crackers! The game developers are testing the technology to an extreme level, hoping to make the best of it.

For instance, InWorld AI, the developer platform for AI characters, is using technology to bring intelligence to non-playable characters (NPCs), which can think independently and communicate with the player. Recently, NVIDIA launched Avatar Cloud Engine (ACE), a similar generative AI service that developers can use to build and deploy customised speech, conversation and animation AI models in their games.

Unity, a game engine primarily designed for the development of video games, realised the potential of the growing AI technology and announced an AI marketplace. Through this marketplace, game developers can gain access to generative AI solutions that will accelerate certain parts of their workflow. The marketplace has about 21 generative AI tools for game development. It is unique in the sense that when the world continues to hype up the field, game developers are finding actual use-cases for the technology.

This development is aligned with the study conducted by a16z games, an arm of the VC giant Andreessen Horowitz, that a whopping 87% of studios are already using generative AI, with 99% stating that they plan to do so in the future.?

Troy Kirwin, a games investor at a16z, said in a?tweet, “AI allows small teams of creators to build games previously only achievable at AAA budgets. Meanwhile, large studios are chomping at the bit to find any way to accelerate production timelines cheaply.”

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LLM Benchmarks Gone Wrong?

A brand-new chatbot is out. And it just achieved a score of 105.7% compared to ChatGPT on Vicuna GPT-4 Benchmark. OpenChat, the open-source chat platform, is touted as decentralised and is built on top of LLaMA-13B. Interestingly, this LLaMA-based model is trained on a set of 6k conversations from the 90k conversations available on ShareGPT, a hub for sharing ChatGPT and GPT-4 generated outputs on the internet.

This new model is getting a lot of attention, however, experts are also questioning the whole benchmarking method. When it comes to evaluating on the Vicuna GPT-4 Benchmark, it only tests for style and not the information generated by the model.?

Interestingly, after all the criticism, the researchers have realised that there is some problem with evaluating the model on Vicuna GPT-4 Benchmark.

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Companies Open GenAI Experts’ Role

Companies, across industries, are increasingly appointing leaders dedicated to driving generative AI initiatives. Recently, Coca-Cola named Pratik Thakkar as its global head of generative AI, while PayPal appointed Vidyut Naware as the head of their generative AI centre of excellence. Rackspace Technology also appointed Srini Koushik as the global head of their newly launched Foundry for Generative AI.?

These appointments signify the growing importance of generative AI in businesses. By leveraging AI technology, companies aim to create innovative marketing strategies, enhance customer service, automate processes, and drive efficiencies. The adoption of generative AI is seen as a way to navigate challenges and capitalise on its potential for long-term cost reduction and value creation.

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NVIDIA Winning Against All

NVIDIA's relentless pursuit in the AI race continues as the chip-making giant acquires startups like OmniML. The startup's expertise in shrinking ML models for edge deployment aligns perfectly with NVIDIA's presence in fields like autonomous machines and industrial applications. By integrating OmniML's technology into its edge offerings, NVIDIA can optimise models for efficient deployment on lower-end hardware.?

Additionally, the acquisition move enables NVIDIA to maximise the utilisation of its edge hardware suite. This strategic move strengthens NVIDIA's position in the AI market and enhances its comprehensive edge AI strategy.

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