Milad Gholami milad621
milad621
/ gist:be91085148455d1d2a81505f8b29315d
Created
January 23, 2024 21:51
Toollama train examples
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| { | |
| "id": "Step 2: I'm organizing a team-building event for my company and I want to start it off with some lighthearted jokes. Can you fetch jokes from the Jokester API and categorize them as 'team-building' and 'fun'? Also, it would be great if you could provide me with some motivational quotes from the mydailyinspiration API to inspire my team.", | |
| "conversations": [ | |
| { | |
| "from": "system", | |
| "value": "You are AutoGPT, you can use many tools(functions) to do the following task.\nFirst I will give you the task description, and your task start.\nAt each step, you need to give your thought to analyze the status now and what to do next, with a function call to actually excute your step. Your output should follow this format:\nThought:\nAction\nAction Input:\n\nAfter the call, you will get the call result, and you are now in a new state.\nThen you will analyze your status now, then decide what to do next...\nAfter many (Thought-call) pairs, you finally perform |
milad621
/ data-test examples
Created
September 29, 2023 18:35
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| {"qst": "What will be the average temperature in New York City after one week?", "actions": ["Thought: I need to get the temperature of New York City for the next week, so I should call forecast_weather(New York City, 7).", "Information: OK.", "Action: forecast_weather(New York City, 7)", "Information: {over all weather: Sunny; max temperature: 12.7(C), 54.9(F); min temperature: -0.1(C), 31.8(F); average temperature: 6.8(C), 44.2(F); max wind speed: 20.9(kph), 13.0(mph); total precipitation: 0.0(mm), 0.0(inch); will rain today: 0, chance of rain: 0; total snow: 0.0(cm); will snow today: 0, chance of snow: 0; average visibility: 10.0(km), 6.0(miles); average humidity: 52.0; UV index: 3.0; sunrise time: 06:45 AM, sunset time: 07:18 PM; moonrise time: 11:50 AM, moonset time: 03:04 AM; }", "Thought: I have the average temperature information for the next week in New York City, I can give the final answer.", "Information: OK.", "Answer: the average temperature in New York City after one week is 6.8(C), 44.2(F)."]} |
milad621
/ example ToolBench data
Created
September 29, 2023 17:29
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| { | |
| "api_list": [ | |
| { | |
| "category_name": "Logistics", | |
| "tool_name": "SQUAKE", | |
| "api_name": "Checkhealth", | |
| "api_description": " ", | |
| "required_parameters": [], | |
| "optional_parameters": [], | |
| "method": "GET" |
milad621
/ gist:cd47cd1c7226ac09de9fd31b8102b372
Created
February 8, 2023 22:17
lr_2models_scaled reset at the end of epoch
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| 5e-08 2e-07 | |
| small step: 0.0005 big step: 0.0020 | |
| Epoch 1 Batch 50 Loss 8.9662 Accuracy 0.0001 small step: 0.0005 big step: 0.0020 | |
| tf.Tensor(8.976346, shape=(), dtype=float32) tf.Tensor(8.956141, shape=(), dtype=float32) | |
| setting to big step | |
| Epoch 1 Batch 100 Loss 8.9406 Accuracy 0.0004 small step: 0.0010 big step: 0.0040 | |
| tf.Tensor(8.927561, shape=(), dtype=float32) tf.Tensor(8.901532, shape=(), dtype=float32) | |
| setting to big step | |
| Epoch 1 Batch 150 Loss 8.9037 Accuracy 0.0067 small step: 0.0020 big step: 0.0080 | |
| tf.Tensor(8.851914, shape=(), dtype=float32) tf.Tensor(8.806074, shape=(), dtype=float32) |
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| { | |
| "_index": "deals-1499727747450", | |
| "_type": "deals", | |
| "_id": "34147415-f1b4-4460-b943-9c3eb13d1815", | |
| "_score": 14.633316, | |
| "_source": { | |
| "parentId": null, | |
| "legacyId": 18104569, | |
| "permalink": "pg-institute-of-skin-and-body", | |
| "status": "launched", |
milad621
/ query.json
Created
August 22, 2017 23:57
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| { | |
| "from": 0, | |
| "size": 600, | |
| "timeout": 1000, | |
| "query": { | |
| "filtered": { | |
| "query": { | |
| "bool": { | |
| "must": { | |
| "dis_max": { |
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| { | |
| "query": { | |
| "filtered": { | |
| "query": { | |
| "bool": { | |
| "should": [ | |
| { | |
| "bool": { | |
| "must": [ | |
| { |
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| { | |
| "from": 0, | |
| "size": 600, | |
| "timeout": 1000, | |
| "query": { | |
| "filtered": { | |
| "query": { | |
| "bool": { | |
| "must": { | |
| "dis_max": { |
milad621
/ ESQuery.json
Created
February 6, 2017 19:24
Run the same 4000 line query with all aggregations in place but without any sort clauses and record the took time
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| { | |
| "from": 0, | |
| "size": 600, | |
| "timeout": 1000, | |
| "query": { | |
| "filtered": { | |
| "query": { | |
| "bool": { | |
| "must": { | |
| "dis_max": { |
milad621
/ ESQuery.json
Created
February 6, 2017 19:21
Run the same 4000 line query without any aggregation and without any sort clauses and record the took time
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| { | |
| "from": 0, | |
| "size": 600, | |
| "timeout": 1000, | |
| "query": { | |
| "filtered": { | |
| "query": { | |
| "bool": { | |
| "must": { | |
| "dis_max": { |
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