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[kees_b]

The best AI for game development.

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Tags: Apple, Hardware, Software

Choosing the best AI for sports development depends on your goals-to create adaptive NPC, a dynamic environment, or realistic decision making. For these purposes, equipment such as Unity ML-agents, TensorFlow, and OpenAI’s GPT models is widely used.

• This topic was modified 1 month, 1 week ago by kees_b.
• This topic was modified 1 month, 1 week ago by kees_b.

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Reply To: The best AI for game development.

In reply to The best AI for game development.

What kind of AI did IBM use some 20 years ago when their computers beat both the world champion in chess sport and the world champion in go. Both are sports, aren’t they?

[birdmantd]

Reply To: The best AI for game development.

In reply to Reply To: The best AI for game development.

I think back then, it was named “Deep Blue” for the chess system. Here is a Wikipedia link about that system: https://en.wikipedia.org/wiki/Deep_Blue_(chess_computer)

• This reply was modified 1 month, 1 week ago by birdmantd.

Small problems?

In reply to The best AI for game development.

Current AI runs on energy far greater than what your average PC consumes. AI/ML runs in server farms which not only consume power but a lot of WATER. Read https://oecd.ai/en/wonk/how-much-water-does-ai-consume

The next problem is response time. With response times in seconds that destroys the idea you would use these for your SPORTS game.

Reply To: The best AI for game development.

In reply to Small problems?

I guess the lesson here is that it won’t be cheap or easy.

[rproffitt]

Reply To: The best AI for game development.

In reply to The best AI for game development.

From a technical standpoint, the best AI tool depends on the game mechanic you’re optimizing. Unity ML-Agents is solid for reinforcement learning tasks like training NPC behavior through simulation, while TensorFlow excels in custom deep learning pipelines for predictive or classification logic.

For dialogue systems or procedural storytelling, OpenAI’s GPT models are more flexible—especially if you need context-aware, natural language interactions. Integrating these with real-time engines requires latency handling and token stream control, especially in fast-paced gameplay.

If you’re building mod-heavy or sandbox-style games like Minecraft 64.89 mod – https:// 64.89 combining GPT for interactive dialogue with Unity’s physics and animation pipeline can deliver highly immersive results.

Moderator replaced promotional content with 64.89.

• This reply was modified 2 weeks, 1 day ago by rproffitt.

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