"print(\"Server is ready. Proceeding with the next steps.\")"
"print(\"Server is ready. Proceeding with the next steps.\")"
]
]
},
},
...
@@ -92,7 +66,7 @@
...
@@ -92,7 +66,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"{\"id\":\"1449c9c20d4448299431a57facc68d7a\",\"object\":\"chat.completion\",\"created\":1729816891,\"model\":\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"LLM stands for Large Language Model. It's a type of artificial intelligence (AI) designed to process and generate human-like language. LLMs are trained on vast amounts of text data, which enables them to learn patterns, relationships, and nuances of language.\\n\\nLarge Language Models are typically trained using a technique called deep learning, where multiple layers of artificial neural networks are used to analyze and understand the input data. This training process involves feeding the model massive amounts of text data, which it uses to learn and improve its language understanding and generation capabilities.\\n\\nSome key characteristics of LLMs include:\\n\\n1. **Language understanding**: LLMs can comprehend natural language, including its syntax, semantics, and context.\\n2. **Language generation**: LLMs can generate text, including responses to user input, articles, stories, and more.\\n3. **Contextual understanding**: LLMs can understand the context in which language is being used, including the topic, tone, and intent.\\n4. **Self-supervised learning**: LLMs can learn from large datasets without explicit supervision or labeling.\\n\\nLLMs have a wide range of applications, including:\\n\\n1. **Virtual assistants**: LLMs power virtual assistants like Siri, Alexa, and Google Assistant.\\n2. **Language translation**: LLMs can translate text from one language to another.\\n3. **Text summarization**: LLMs can summarize long pieces of text into shorter, more digestible versions.\\n4. **Content generation**: LLMs can generate content, such as news articles, product descriptions, and social media posts.\\n5. **Chatbots**: LLMs can power chatbots that can have human-like conversations with users.\\n\\nThe Large Language Model I am, is a type of LLM that has been trained on a massive dataset of text and can answer a wide range of questions and engage in conversation.\"},\"logprobs\":null,\"finish_reason\":\"stop\",\"matched_stop\":128009}],\"usage\":{\"prompt_tokens\":47,\"total_tokens\":426,\"completion_tokens\":379,\"prompt_tokens_details\":null}}"
"{\"id\":\"449710eb827c49c99b82ce187e912c2a\",\"object\":\"chat.completion\",\"created\":1729962606,\"model\":\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"LLM stands for Large Language Model. It's a type of artificial intelligence (AI) designed to process and generate human-like language. These models are trained on vast amounts of text data, allowing them to learn patterns, relationships, and context within language.\\n\\nLarge language models use various techniques, such as deep learning and natural language processing, to analyze and understand the input text. They can then use this understanding to generate coherent and context-specific text, such as:\\n\\n1. Responses to questions or prompts\\n2. Summaries of long pieces of text\\n3. Creative writing, like stories or poetry\\n4. Translation of text from one language to another\\n\\nSome popular examples of LLMs include:\\n\\n1. Chatbots: Virtual assistants that can understand and respond to user input\\n2. Virtual assistants: Like Siri, Alexa, or Google Assistant\\n3. Language translation tools: Such as Google Translate\\n4. Writing assistants: Like Grammarly or Language Tool\\n\\nThe key characteristics of LLMs include:\\n\\n1. **Scalability**: They can process large amounts of text data\\n2. **Flexibility**: They can be fine-tuned for specific tasks or domains\\n3. **Contextual understanding**: They can recognize context and nuances in language\\n4. **Creativity**: They can generate original text or responses\\n\\nHowever, LLMs also have limitations and potential drawbacks:\\n\\n1. **Bias**: They can perpetuate existing biases in the training data\\n2. **Misinformation**: They can spread misinformation or false information\\n3. **Dependence on data quality**: The quality of the training data directly affects the model's performance\\n\\nOverall, LLMs are powerful tools that can be used in various applications, from language translation and writing assistance to chatbots and virtual assistants.\"},\"logprobs\":null,\"finish_reason\":\"stop\",\"matched_stop\":128009}],\"usage\":{\"prompt_tokens\":47,\"total_tokens\":408,\"completion_tokens\":361,\"prompt_tokens_details\":null}}"
]
]
}
}
],
],
...
@@ -121,7 +95,7 @@
...
@@ -121,7 +95,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"ChatCompletion(id='16757c3dd6e14a6e9bafd1122f84e4c5', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='Here are 3 countries and their capitals:\\n\\n1. **Country:** Japan\\n**Capital:** Tokyo\\n\\n2. **Country:** Australia\\n**Capital:** Canberra\\n\\n3. **Country:** Brazil\\n**Capital:** Brasília', refusal=None, role='assistant', function_call=None, tool_calls=None), matched_stop=128009)], created=1729816893, model='meta-llama/Meta-Llama-3.1-8B-Instruct', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=46, prompt_tokens=49, total_tokens=95, prompt_tokens_details=None))\n"
"ChatCompletion(id='6bbf20fed17940739eb5cd5d685fa29a', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='Here are 3 countries and their capitals:\\n\\n1. **Country:** Japan\\n**Capital:** Tokyo\\n\\n2. **Country:** Australia\\n**Capital:** Canberra\\n\\n3. **Country:** Brazil\\n**Capital:** Brasília', refusal=None, role='assistant', function_call=None, tool_calls=None), matched_stop=128009)], created=1729962608, model='meta-llama/Meta-Llama-3.1-8B-Instruct', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=46, prompt_tokens=49, total_tokens=95, prompt_tokens_details=None))\n"
Chayenne <zhaochenyang@ucla.edu>