Generative AI applications - What LLMs can and cannot do

What prompting an LLM can do

  • Can a fresh college graduate follow the instructions in the prompt to complete the task?

Knowledge cutoffs

  • An LLM's knowledge of the world is frozen at the time of its training(2022年1月)

Making things up: Hallucinations

  • so understanding its limitations is important if you are using this for documents of real consquence

The input (and output) length is limited

  • Many LLMs can accept a prompt of up to only a few thousand words.
  • The total amount of context you can give it is limited.
  • Some LLMs have longer context limits - up to 100,000 words
  • An LLM's context length is the limit on the total input+output size

Generative AI does not work well with structured (tabular) data

  • use supervised learning to structured data

Generative AI works best with unstructured data

  • ( text images, audio, video)

Bias and Toxicity

  • An LLM can reflect the biases that exist in the text it learned from.
  • Some LLMs can output toxic or other harmful speech, but most models have gotten much safer over time
相关推荐
zhangfeng113323 分钟前
CVOCA 卷积模型,《Nature》子刊 特征提取技术突破性研究的综合分析报告
人工智能
炎火星27 分钟前
直播切片素材杂乱,怎么用 AI 剪辑做成可用带货视频?
人工智能
像风一样的男人@32 分钟前
python --fastapi推流AI推理
人工智能·python·fastapi
行走的小派41 分钟前
从个人开发到企业部署:OPi AI Station四大应用场景与选型指南
人工智能·边缘计算·香橙派·边缘ai
天云数据41 分钟前
从“雇佣一个人”到“组建一个团队”:AI生产力的组织方式被重写
人工智能
2601_956319881 小时前
最新量化开发卡住,先查规则和流程是否完整
人工智能·python
weixin_6681 小时前
Cursor-superpowers插件用法
数据库·人工智能
adinnet20261 小时前
深度拆解企业级 Agent 架构:LangGraph + 知识图谱 + 向量检索的协同设计
人工智能·架构·知识图谱
武子康1 小时前
Shippy:确定性工具、会话级 Sandbox 与 Live-Data Eval(4 类收敛 + 7 步实现方案 + 6 类评测指标)
前端·人工智能·后端
糖果店的幽灵1 小时前
langgraph分支之 - 动态分支(Dynamic Branch)
java·前端·javascript·人工智能·langgraph