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Model Providers

The foundation on which the entire ecosystem is built.

Models Experience & Sentiment

It should be no surprise that OpenAI's ChatGPT still benefits from its first-mover advantage and large mindshare, making it both the most-used (91.2%) and most-loved (53.1%) model provider.

But while it does possess a large lead in terms of usage, runner-up Claude is not very far behind in terms of positive sentiment with 45.9%.

通过...分组:

根据此项排序:

91.2%
6%
4,138
57%
34.5%
7.5%
4,136
55.1%
43%
4,137
54.6%
43.1%
4,138
44.1%
52.7%
4,136

经验

  • <span aria-hidden="true">🤓</span> 用过: 使用过此项目的受访者。
  • <span aria-hidden="true">👀</span> 有听说过: 听说过此项目,但没有使用过此项目的受访者。
  • <span aria-hidden="true">🤷</span> 没听说过: 从未听说过此项目的受访者。

情绪(态度)

  • 积极: 有兴趣了解此技术,或者愿意再次使用它的受访者
  • 中立: 未对此技术发表看法的受访者
  • 消极: 对此技术不感兴趣,或者使用此技术有糟糕体验的受访者
💡
你可以单击任何技术的名称, 来获得额外的详细信息,并更深入地查看其相关数据。
What other models are you currently using?
(自由提问)
Multiple
0%
20%
40%
60%
80%
100%
9

其他答案

匹配“其他答案”的答案 231
0%
20%
40%
60%
80%
100%
受访者百分比

Number of Items

How many items in this category respondents have used.

0%
4%
7%
11%
14%
18%
1

0

172
2

1

355
3

2

628
4

3

732
5

4

731
6

5

613
7

6

456
8

7

309
9

8

145
10

9

40
0%
4%
7%
11%
14%
18%
调查对象百分比

Model Providers Pain Points

Hallucinations & inaccuracies were by far the biggest pain point with AI models reported by respondents, which makes sense as these tools lose all utility if their output can't be relied on.

The lack of ability to handle larger contexts and keep data in memory was also a big issue, especially when it comes to dealing with large, real-world codebases.

Which pain points have you encountered when using AI models?
(自由提问)
Multiple
0%
20%
40%
60%
80%
100%
1

Hallucination & inaccuracies

2

Context & memory limitations

3

Poor generated code quality

4

Lack of prompt understanding

5

Poor response quality

6

Difficulties enginering prompts

7

Slow response time

8

High monetary cost

9

Outdated knowledge

10

Limited reasoning ability

0%
20%
40%
60%
80%
100%
受访者百分比