Langchain LLM models which do not have _acall or _agenerate implementedprompt_list = [    "When was George Washington president?",    "Explain to me the difference between nuclear fission and fusion.",    "Give me a list of 5 science fiction books I should read next.",    "Explain the difference between Spark and Ray.",    "Suggest some fun holiday ideas.",    "Tell a joke.",    "What is 2+2?",    "Explain what is machine learning like I am five years old.",    "Explain what is artifical intelligence.",]import ray@ray.remote(num_cpus=0.1)def send_query(llm, prompt):    resp = llm(prompt)    return respfutures = [send_query.remote(llm, prompt) for prompt in prompt_list]results = ray.get(futures)PreviousAmazon API GatewayNextArceeCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Anyscale is a fully-managed Ray platform, on which you can build, deploy, and manage scalable AI and Python applications
Anyscale is a fully-managed Ray platform, on which you can build, deploy, and manage scalable AI and Python applications ->: Langchain LLM models which do not have _acall or _agenerate implementedprompt_list = [    "When was George Washington president?",    "Explain to me the difference between nuclear fission and fusion.",    "Give me a list of 5 science fiction books I should read next.",    "Explain the difference between Spark and Ray.",    "Suggest some fun holiday ideas.",    "Tell a joke.",    "What is 2+2?",    "Explain what is machine learning like I am five years old.",    "Explain what is artifical intelligence.",]import ray@ray.remote(num_cpus=0.1)def send_query(llm, prompt):    resp = llm(prompt)    return respfutures = [send_query.remote(llm, prompt) for prompt in prompt_list]results = ray.get(futures)PreviousAmazon API GatewayNextArceeCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.