What are the differences?
Between the Llama 2 Chat 70B and GPT-3.5 Turbo LLM models, which follows best instructions?
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Llama 2 Chat 70B
Meta
GPT-3.5 Turbo
OpenAI
Overview
Llama 2 Chat 70B | GPT-3.5 Turbo | |
|---|---|---|
Provider Organization responsible for this model. | Meta | OpenAI |
Input Context Window The total number of tokens that the input context window can accommodate. | 4.1K | 4.1K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 2K | 4.1K |
Release Date The initial release date of the model. | July 18, 2023 28 months ago | November 28, 2022 36 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/7 |
Pricing
Llama 2 Chat 70B | GPT-3.5 Turbo | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | $0.00 |
Output Costs associated with the tokens produced by the model. | Not specified. | $0.00 |
Benchmark
Llama 2 Chat 70B | GPT-3.5 Turbo | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 68.9 | 70 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | 30.1 | |
HellaSwag A demanding benchmark for sentence completion tasks. | 85.3 | 85.5 |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1088 |
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Open Source
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1-line Integration
Prompt Templates
Chat Replays
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Topic Classification
Agent Tracing
Custom Dashboards
Score LLM responses
PII Masking
Feedback Tracking
Open Source
Self Hostable
1-line Integration
Prompt Templates
Chat Replays
Analytics
Topic Classification
Agent Tracing
Custom Dashboards
Score LLM responses
PII Masking
Feedback Tracking
