Конкретный пример почему ты неправильно использовал нейросети

Understanding the Misuse of Neural Networks

Overview of Neural Network Usage

• The speaker asserts that 99% of people using neural networks do so incorrectly, specifically mentioning tools like Google, Perplexity, DeepSik, and ChatGPT.

• A practical demonstration is introduced where the speaker inputs a search query about marketing courses into four different neural networks to compare their outputs.

Comparison of Neural Network Outputs

• The results are compiled into a summary table highlighting key metrics such as verifiability, hallucination risk, and suitability for landing pages or SEO.

• Rankings are generated based on the effectiveness of each neural network in responding to the query:

• 1st: Perplexity

• 2nd: DeepSik

• 3rd: ChatGPT

• 4th: DeepSik

Reevaluation and Query Refinement

• After receiving initial ratings, the speaker requests a reevaluation without any additional context to see if results change; ChatGPT still underperforms.

• The speaker notes that DeepSik ranks higher but questions how to better formulate queries for improved outcomes.

Importance of Context in Queries

• The discussion emphasizes that providing context (like company information and competitors) significantly influences neural network responses.

• It’s highlighted that understanding differences among various neural networks is crucial for effective usage.

Practical Implications for Business Reports

• Before uploading reports to a neural network, users should provide comprehensive background information to achieve accurate results.

• Adding competitor analysis and target audience details can lead to vastly different outputs from the same report.

Conclusion and Future Exploration

• The speaker offers to create further content comparing responses across more neural networks, emphasizing the critical importance of quality in AI-generated answers.