12/24: OpenAI announces o3, its highest-ever performing model 1/25: Alibaba unveils Qwen2.5-Max, which surpasses the performance of other leading models (GPT- 4o, Claude 3.5) on some AI overviews to augment its search functions 9/24: Alibaba releases 100 open-source Qwen 2.5 models, with performance in line with Western competitors 1/25: DeepSeek releases its 2021-2025, per NVIDIA 2.5MM 6MM 0 3 6 Number of Developers (MM) 7K 27K 0 15 30 2021 2025 Number of AI Startups (K) Number of Applications Using GPUs (K) 1.7K 4K 0 2.5 5 +2.4x +3.9x +2

3 symbol t; 4 symbol phi; 5 6 formula f = a ∗ sin(w ∗ t + phi ); 7 8 double y = f(a = 5.0, w = 2.5, t = 1.6, phi = 0); CppCon - Vincent Reverdy - October 4th, 2023 - Aurora, Colorado, USA 10 CC0 1 3 symbol t; 4 symbol phi; 5 6 formula f = a ∗ sin(w ∗ t + phi ); 7 8 double y = f(a = 5.0, w = 2.5, t = 1.6, phi = 0); // Binding here The idea operator= should return an object that binds the value formula Introductory example 1 formula f = a ∗ sin(w ∗ t + phi ); 2 3 double y = f(a = 5.0, w = 2.5, t = 1.6, phi = 0); // Substitution ! Starting from the formula 1 template

0; MatrixXd mtx{2, 2}; // 0-index as is the case in C++ generally: mtx(0, 0) = 3.0; mtx(1, 0) = 2.5; mtx(0, 1) = -1.0; mtx(1, 1) = mtx3(1, 0) + mtx3(0, 1); // Similar for Vector types Eigen MatrixXd {1.0, 2.0, 3.0}, {1.5, 2.5, 3.5}, {4.0, 5.0, 6.0}, {4.5, 5.5, 6.5}, {7.0, 8.0, 9.0} }; MatrixXd B { {1.0, 2.0, 3.0, 4.0, 5.0}, {1.5, 2.5, 3.5, 4.5, 5.5}, {5.0, 6 Eigen: Scalar Multiplication Daniel Hanson CppCon 2024 15MatrixXd A { {1.0, 2.0, 3.0}, {1.5, 2.5, 3.5}, {4.0, 5.0, 6.0}, {4.5, 5.5, 6.5}, {7.0, 8.0, 9.0} }; MatrixXd mtx_sum = A + C; cout

evaluate function arguments lazily. we'll need to evaluate function arguments lazily. 52TAKE 2.5 TAKE 2.5 return fmap(l, lazy_call(foo, i), lazy_call(bar, i)); template lazy{[&] { return std::invoke(std::forward(f), std::forward(args)...); }}; } 53TAKE 2.5 TAKE 2.5 template struct lazy { F f{}; std::invoke_result_t opt{}; constexpr explicit(true) auto operator*(this Self&& self) { return *(std::forward(self).opt); } }; 54TAKE 2.5 TAKE 2.5 Better? Maybe? Yes? Better? Maybe? Yes? Take your pick. Use lazy evaluation if you want. Take

julia> 2.5e-4 0.00025 The above results are all Float64 values. Literal Float32 values can be entered by writing an f in place of e: julia> x = 0.5f0 0.5f0 julia> typeof(x) Float32 julia> 2.5f-4 2 + 0im julia> (-3 + 2im) - (5 - 1im) -8 + 3im julia> (-1 + 2im)^2 -3 - 4im julia> (-1 + 2im)^2.5 2.729624464784009 - 6.9606644595719im 38CHAPTER 6. COMPLEX AND RATIONAL NUMBERS 39 julia> (-1 + julia> (2 + 3im) - 1 1 + 3im julia> (1 + 2im) + 0.5 1.5 + 2.0im julia> (2 + 3im) - 0.5im 2.0 + 2.5im julia> 0.75(1 + 2im) 0.75 + 1.5im julia> (2 + 3im) / 2 1.0 + 1.5im julia> (1 - 3im) / (2 + 2im)

julia> 2.5e-4 0.00025 The above results are all Float64 values. Literal Float32 values can be entered by writing an f in place of e: julia> x = 0.5f0 0.5f0 julia> typeof(x) Float32 julia> 2.5f-4 2 + 0im julia> (-3 + 2im) - (5 - 1im) -8 + 3im julia> (-1 + 2im)^2 -3 - 4im julia> (-1 + 2im)^2.5 2.729624464784009 - 6.9606644595719im 38CHAPTER 6. COMPLEX AND RATIONAL NUMBERS 39 julia> (-1 + julia> (2 + 3im) - 1 1 + 3im julia> (1 + 2im) + 0.5 1.5 + 2.0im julia> (2 + 3im) - 0.5im 2.0 + 2.5im julia> 0.75(1 + 2im) 0.75 + 1.5im julia> (2 + 3im) / 2 1.0 + 1.5im julia> (1 - 3im) / (2 + 2im)

julia> 2.5e-4 0.00025 The above results are all Float64 values. Literal Float32 values can be entered by writing an f in place of e: julia> x = 0.5f0 0.5f0 julia> typeof(x) Float32 julia> 2.5f-4 2 + 0im julia> (-3 + 2im) - (5 - 1im) -8 + 3im julia> (-1 + 2im)^2 -3 - 4im julia> (-1 + 2im)^2.5 2.729624464784009 - 6.9606644595719im 42CHAPTER 7. COMPLEX AND RATIONAL NUMBERS 43 julia> (-1 + julia> (2 + 3im) - 1 1 + 3im julia> (1 + 2im) + 0.5 1.5 + 2.0im julia> (2 + 3im) - 0.5im 2.0 + 2.5im julia> 0.75(1 + 2im) 0.75 + 1.5im julia> (2 + 3im) / 2 1.0 + 1.5im julia> (1 - 3im) / (2 + 2im)

julia> 2.5e-4 0.00025 The above results are all Float64 values. Literal Float32 values can be entered by writing an f in place of e: julia> x = 0.5f0 0.5f0 julia> typeof(x) Float32 julia> 2.5f-4 2 + 0im julia> (-3 + 2im) - (5 - 1im) -8 + 3im julia> (-1 + 2im)^2 -3 - 4im julia> (-1 + 2im)^2.5 2.729624464784009 - 6.9606644595719im 42CHAPTER 7. COMPLEX AND RATIONAL NUMBERS 43 julia> (-1 + julia> (2 + 3im) - 1 1 + 3im julia> (1 + 2im) + 0.5 1.5 + 2.0im julia> (2 + 3im) - 0.5im 2.0 + 2.5im julia> 0.75(1 + 2im) 0.75 + 1.5im julia> (2 + 3im) / 2 1.0 + 1.5im julia> (1 - 3im) / (2 + 2im)

julia> 2.5e-4 0.00025 The above results are all Float64 values. Literal Float32 values can be entered by writing an f in place of e: julia> x = 0.5f0 0.5f0 julia> typeof(x) Float32 julia> 2.5f-4 2 + 0im julia> (-3 + 2im) - (5 - 1im) -8 + 3im julia> (-1 + 2im)^2 -3 - 4im julia> (-1 + 2im)^2.5 2.729624464784009 - 6.9606644595719im 42CHAPTER 7. COMPLEX AND RATIONAL NUMBERS 43 julia> (-1 + julia> (2 + 3im) - 1 1 + 3im julia> (1 + 2im) + 0.5 1.5 + 2.0im julia> (2 + 3im) - 0.5im 2.0 + 2.5im julia> 0.75(1 + 2im) 0.75 + 1.5im julia> (2 + 3im) / 2 1.0 + 1.5im julia> (1 - 3im) / (2 + 2im)

51quantity q1 = 2.5 * m; quantity q2 = q1; // Compile-time error CppCon 2024: Improving our safety with a quantities and units library Preventing truncation of data 52quantity q1 = 2.5 * m; quantity2.5 * m; quantity q2 = q1; // Compile-time error • Truncating conversion can be explicitly forced from the code quantity q1 = 2.5 * m; quantity