Why It’s Important
Enterprise leaders considering the deployment of large language models (LLMs) need to understand the significance of context windows in maintaining relevance and coherence in extended interactions. These are critical in ensuring stable and consistent responses to reduce the risk of erratic or off-topic outputs and in maintaining reliable AI-assisted communication channels.
OpenAI also announced cheaper pricing for input and output tokens of GPT-4 Turbo compared to GPT-4. This will encourage more experimentation and innovation since organisations can better afford to explore new ways to leverage AI. More enterprises can also deploy AI solutions extensively and frequently while maintaining cost efficiency.
Who’s Impacted
- CTO
- AI developers
- IT teams
What’s Next?
Enterprises should be aware that while this new version has significantly enhanced capabilities, it may also amplify existing drawbacks associated with LLMs. Enterprises should still conduct a thorough evaluation of the potential risks and drawbacks associated with its use. This includes issues related to accuracy, ethical concerns, or unintended biases in the AI’s responses.
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