国外：GPT-4等效智能在过去18个月内价格下降240倍  国内：大模型「亏本」卖，可以「白嫖」大模型API能力 19政企、创业者必读 DeepSeek出现之前的十大预判 之七 多模态越来越重要  由文本生成迈向图像、视频、3D内容与世界模拟  多模态模态在能力变强的同时，规模正在变小 20政企、创业者必读 21 DeepSeek出现之前的十大预判 之八 智能体推动大模型快速落地  能够调用各种工具，具有行动能力 过去如何做蛋白质研究 AlphaFold 1. X射线晶体衍射 2. 核磁共振 3. 冷冻电子显微镜 1. 利用Transformer的预测能力， 2. 直接从蛋白质的氨基酸序列 3. 中预测蛋白质的3D结构 靠肉眼观察，几年才能发现一个复杂蛋 白质结构，半个世纪预测了20多万种 从数年缩短到几分钟，解开了生物学密码 成功预测了地球存在的2亿种蛋白质结构 45政企、创业者必读  DeepS

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1665 88.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1669 88.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) types in question, but then this set would not be extensible as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1665 88.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1669 88.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) types in question, but then this set would not be extensible as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1665 88.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1669 88.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) types in question, but then this set would not be extensible as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1729 90.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1733 90.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) types in question, but then this set would not be extensible as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1727 90.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1731 90.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) types in question, but then this set would not be extensible as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1726 90.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1730 90.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) types in question, but then this set would not be extensible as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1726 90.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1730 90.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) types in question, but then this set would not be extensible as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1717 89.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1721 89.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) types in question, but then this set would not be extensible as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a

Subsequences, permutations and shuffling . . . . . . . . . . . . . . . . . . . . . . 1425 86.4 Generators (creation and seeding) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1428 86.5 Hooking into the Random named function does not exist. In these situations, the anonymous function construct allows easy creation of a single-use function object without needing a name: julia> map(x -> x^2 + 2x - 1, [1, 3, -1]) this set would not be extensibleCHAPTER 12. METHODS 162 as Union-types cannot be altered after creation. However, such an extensible set can be programmed with a design pattern often referred to as a