这之中会先经过一些经典的处理手段(presence penalty,frequency penalty,temperature scaling),然后再 log softmax 一下转成 log probs,开始 sample。 sample 这个 for 循环分为两部分:i < num_prompts的部分(generate next tokens for a prompt)以及i
GPT-3.5, Predicted Output:15Analysis: Enters for loop and iterates from 2 onwardsuntil the value of time exceeds c + 0.5. In firstiteration, amount becomes 5 and time becomes 6. Insecond iteration, amount becomes 10 and time becomes9. In third iteration, amount becomes 15 and timebecom...
b. 代码辅助生成及修复:结合 CI / Static Analysis 的结果、提供摘要性总结及修复建议;结合其他研发基础设施(如 IDE / Code Interpreter)、实现 AI-Generated Code 具备生产级交付能力; 2、探索并打造企业级 LLM 应用研发基础设施,建设 LLM 应用开发的接入平台及基础框架能力。
you should ask the user if it's okay to add those commands to CLAUDE.md. Similarly, when learning about code style preferences or important codebase information, ask if it's okay to add that to CLAUDE.md so you can remember it for next time. ...
高级研发工程师 LLM for Code 方向 立即沟通 字节飞书 更换职位 高级后端开发工程师(DevOps) 某大型知名互联网公司 更换职位 招聘中 高级研发工程师 LLM for Code 方向 - K· 薪 字节飞书 互联网 D轮及以上 职位关闭 高级后端开发工程师(DevOps)
return hidden_states, states # 该代码是一个自定义的PyTorch模型类RWKVForCausalLM,继承自nn.Module。 class RWKVForCausalLM(nn.Module): # 初始化函数,接受一个config对象作为参数。其中config是一个RWKVConfig类型的对象。 def __init__(self, config: RWKVConfig): # 创建一个RWKVModel对象rwkv,用于...
Quantization: We utilize low-bit quantizations to compress the model weights and leverage TVM's loop-level TensorIR to quickly customize code generations for different compression encoding schemes. Runtime: The final generated libraries run on the native environment, with TVM runtime that comes with...
LLM for data analysis - Linear chain.ipynb - Follows agent design without the loop for iterative improvement LLM for data analysis - Reflection with code .ipynb - Instead of improving plan using error, this code iterates between code generator and interpreter to improve code generation ...
3.1 Coding for Reasoning 3.2 Code Simulation 3.3 Code Agents 3.4 Interactive Coding 3.5 Frontend Navigation 4. Code LLM for Low-Resource, Low-Level, and Domain-Specific Languages 5. Methods/Models for Downstream Tasks Code Generation Code RAG Code Ranking Code Translation Code Commenting and Summariz...
The expanded context window means Llama 4 can maintain context over longer documents or extended conversations. It can remember more details and process complex information in a single pass. This makes it perfect for tasks like: Long-form document analysis (e.g., academic papers, legal documents...