commoditization and driving diminishing returns, as output quality converges across players and differentiation becomes harder to sustain. At the same time, the cost of applying/using these models – known commoditization and driving diminishing returns, as output quality converges across players and differentiation becomes harder to sustain. At the same time, the cost of applying/using these models – known

Inc. or its Affiliates. All rights reserved. Quantization in TVM • Quantization within TVM - Automatic Quantization • TVM stack ingests a FP32 graph and a small dataset • Finds suitable quantization Quantization Appraoches in TVM Framework FP32 Graph MXNet Parser TF parser …. Relay FP32 Graph Relay Automatic Quantization Relay Int8 Graph Framework Pre-quantized Graph MXNet Parser TF Parser QNN Graph Quantization Approaches in TVM Framework FP32 Graph MXNet Parser TF parser …. Relay FP32 Graph Relay Automatic Quantization Relay Int8 Graph Framework Pre-quantized Graph MXNet Parser TF Parser QNN Graph

Chain of Thought (CoT) 29 Self-consistency 32 Tree of Thoughts (ToT) 36 ReAct (reason & act) 37 Automatic Prompt Engineering 40 Code prompting 42 Prompts for writing code 42 Prompts for explaining code actual LLM inputs and outputs with a more elaborate example. Prompt Engineering February 2025 40 Automatic Prompt Engineering At this point you might realize that writing a prompt can be complex. Wouldn’t Wouldn’t it be nice to automate this (write a prompt to write prompts)? Well, there’s a method: Automatic Prompt Engineering (APE). This method15 not only alleviates the need for human input but also enhances

Galambosi, P. Liang, and T. B. Hashimoto. Length-controlled alpacaeval: A simple way to debias automatic evaluators. arXiv preprint arXiv:2404.04475, 2024. W. Fedus, B. Zoph, and N. Shazeer. Switch transformers: Krikun, N. Shazeer, and Z. Chen. Gshard: Scaling giant models with conditional computation and automatic sharding. In 9th International Conference on Learning Representations, ICLR 2021. OpenReview.net

Free API (Py/Java/Go) lib = tvm.module.load("mylib.so") func = lib["npufunction0"] func(a, b) Automatic RPC Support remote = tvm.rpc.connect(board_url, port) remote.upload("mylib.so") remote_mod =