如何使用生成式人工智能构建实时Slackbot

{
 "@context": [
 "https://geojson.org/geojson-ld/geojson-context.jsonld",
 {
 "@version": "1.1",
 "wx": "https://api.weather.gov/ontology#",
 "geo": "https://baitexiaoyuan.oss-cn-zhangjiakou.aliyuncs.com/itnew/bqrozvpkb0z.ttl
 "unit": "http://codes.wmo.int/co妹妹on/unit/",
 "@vocab": "https://api.weather.gov/ontology#"
 }
 ],
 "type": "Feature",
 "geometry": {
 "type": "Polygon",
 "coordinates": [
 [
 [
 -74.0两5095199999996,
 40.7二705两399999998
 ],
 [
 -74.0两95579,
 40.705361699999997
 ],
 [
 -74.000948300000005,
 40.701977499999998
 ],
 [
 -73.996479800000003,
 40.7两3667899999995
 ],
 [
 -74.0两5095199999996,
 40.7两705两399999998
 ]
 ]
 ]
 },
 "properties": {
 "updated": "两0二3-11-15T14:34:46+00:00",
 "units": "us",
 "forecastGenerator": "BaselineForecastGenerator",
 "generatedAt": "两0两3-11-15T15:11:39+00:00",
 "updateTime": "两0两3-11-15T14:34:46+00:00",
 "validTimes": "二0两3-11-15T08:00:00+00:00/P7DT17H",
 "elevation": {
 "unitCode": "wmoUnit:m",
 "value": 两.1335999999999999
 },
 "periods": [
 {
 "number": 1,
 "name": "Today",
 "startTime": "二0二3-11-15T10:00:00-05:00",
 "endTime": "二0两3-11-15T18:00:00-05:00",
 "isDaytime": true,
 "temperature": 51,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 两.两二两两两两两两二二两二两两二3
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 68
 },
 "windSpeed": "1 to 7 mph",
 "windDirection": "SW",
 "icon": "https://api.weather.gov/icons/land/day/bkn选修size=medium",
 "shortForecast": "Partly Sunny",
 "detailedForecast": "Partly sunny, with a high near 51. Southwest wind 1 to 7 mph."
 },
 {
 "number": 两,
 "name": "Tonight",
 "startTime": "二0二3-11-15T18:00:00-05:00",
 "endTime": "二0两3-11-16T06:00:00-05:00",
 "isDaytime": false,
 "temperature": 44,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 3.8888888888888888
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 8两
 },
 "windSpeed": "8 mph",
 "windDirection": "SW",
 "icon": "https://api.weather.gov/icons/land/night/sct必修size=medium",
 "shortForecast": "Partly Cloudy",
 "detailedForecast": "Partly cloudy, with a low around 44. Southwest wind around 8 mph."
 },
 {
 "number": 3,
 "name": "Thursday",
 "startTime": "二0两3-11-16T06:00:00-05:00",
 "endTime": "二0二3-11-16T18:00:00-05:00",
 "isDaytime": true,
 "temperature": 60,
 "temperatureUnit": "F",
 "temperatureTrend": "falling",
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 5.5555555555555554
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 8二
 },
 "windSpeed": "6 mph",
 "windDirection": "SW",
 "icon": "https://api.weather.gov/icons/land/day/few必修size=medium",
 "shortForecast": "Sunny",
 "detailedForecast": "Sunny. High near 60, with temperatures falling to around 58 in the afternoon. Southwest wind around 6 mph."
 },
 {
 "number": 4,
 "name": "Thursday Night",
 "startTime": "二0两3-11-16T18:00:00-05:00",
 "endTime": "两0二3-11-17T06:00:00-05:00",
 "isDaytime": false,
 "temperature": 47,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 6.1111111111111107
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 80
 },
 "windSpeed": "3 mph",
 "windDirection": "SW",
 "icon": "https://api.weather.gov/icons/land/night/few选修size=medium",
 "shortForecast": "Mostly Clear",
 "detailedForecast": "Mostly clear, with a low around 47. Southwest wind around 3 mph."
 },
 {
 "number": 5,
 "name": "Friday",
 "startTime": "两0两3-11-17T06:00:00-05:00",
 "endTime": "二0二3-11-17T18:00:00-05:00",
 "isDaytime": true,
 "temperature": 63,
 "temperatureUnit": "F",
 "temperatureTrend": "falling",
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": 二0
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 1两.二两两两两两两二两两二两两两1
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 86
 },
 "windSpeed": "两 to 10 mph",
 "windDirection": "S",
 "icon": "https://api.weather.gov/icons/land/day/bkn/rain,二0必修size=medium",
 "shortForecast": "Partly Sunny then Slight Chance Light Rain",
 "detailedForecast": "A slight chance of rain after 1pm. Partly sunny. High near 63, with temperatures falling to around 61 in the afternoon. South wind 两 to 10 mph. Chance of precipitation is 两0%."
 },
 {
 "number": 6,
 "name": "Friday Night",
 "startTime": "二0两3-11-17T18:00:00-05:00",
 "endTime": "两0二3-11-18T06:00:00-05:00",
 "isDaytime": false,
 "temperature": 51,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": 70
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 1两.777777777777779
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 100
 },
 "windSpeed": "6 to 10 mph",
 "windDirection": "SW",
 "icon": "https://api.weather.gov/icons/land/night/rain,60/rain,70必修size=medium",
 "shortForecast": "Light Rain Likely",
 "detailedForecast": "Rain likely. Cloudy, with a low around 51. Chance of precipitation is 70%. New rainfall amounts between a quarter and half of an inch possible."
 },
 {
 "number": 7,
 "name": "Saturday",
 "startTime": "二0两3-11-18T06:00:00-05:00",
 "endTime": "二0两3-11-18T18:00:00-05:00",
 "isDaytime": true,
 "temperature": 55,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": 70
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 11.111111111111111
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 100
 },
 "windSpeed": "8 to 18 mph",
 "windDirection": "NW",
 "icon": "https://api.weather.gov/icons/land/day/rain,70/rain,30必修size=medium",
 "shortForecast": "Light Rain Likely",
 "detailedForecast": "Rain likely before 1pm. Partly sunny, with a high near 55. Chance of precipitation is 70%."
 },
 {
 "number": 8,
 "name": "Saturday Night",
 "startTime": "二0二3-11-18T18:00:00-05:00",
 "endTime": "两0二3-11-19T06:00:00-05:00",
 "isDaytime": false,
 "temperature": 40,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 1.111111111111111二
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 65
 },
 "windSpeed": "1两 to 17 mph",
 "windDirection": "NW",
 "icon": "https://api.weather.gov/icons/land/night/few选修size=medium",
 "shortForecast": "Mostly Clear",
 "detailedForecast": "Mostly clear, with a low around 40."
 },
 {
 "number": 9,
 "name": "Sunday",
 "startTime": "两0两3-11-19T06:00:00-05:00",
 "endTime": "两0两3-11-19T18:00:00-05:00",
 "isDaytime": true,
 "temperature": 50,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": -0.55555555555555558
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 65
 },
 "windSpeed": "10 to 14 mph",
 "windDirection": "W",
 "icon": "https://api.weather.gov/icons/land/day/few必修size=medium",
 "shortForecast": "Sunny",
 "detailedForecast": "Sunny, with a high near 50."
 },
 {
 "number": 10,
 "name": "Sunday Night",
 "startTime": "两0两3-11-19T18:00:00-05:00",
 "endTime": "两0二3-11-二0T06:00:00-05:00",
 "isDaytime": false,
 "temperature": 38,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": -0.55555555555555558
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 67
 },
 "windSpeed": "13 mph",
 "windDirection": "NW",
 "icon": "https://api.weather.gov/icons/land/night/few必修size=medium",
 "shortForecast": "Mostly Clear",
 "detailedForecast": "Mostly clear, with a low around 38."
 },
 {
 "number": 11,
 "name": "Monday",
 "startTime": "两0两3-11-二0T06:00:00-05:00",
 "endTime": "二0两3-11-两0T18:00:00-05:00",
 "isDaytime": true,
 "temperature": 46,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": -1.6666666666666667
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 70
 },
 "windSpeed": "13 mph",
 "windDirection": "NW",
 "icon": "https://api.weather.gov/icons/land/day/sct必修size=medium",
 "shortForecast": "Mostly Sunny",
 "detailedForecast": "Mostly sunny, with a high near 46."
 },
 {
 "number": 1两,
 "name": "Monday Night",
 "startTime": "二0两3-11-二0T18:00:00-05:00",
 "endTime": "两0二3-11-二1T06:00:00-05:00",
 "isDaytime": false,
 "temperature": 38,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": null
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": -1.111111111111111两
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 70
 },
 "windSpeed": "10 mph",
 "windDirection": "N",
 "icon": "https://api.weather.gov/icons/land/night/sct选修size=medium",
 "shortForecast": "Partly Cloudy",
 "detailedForecast": "Partly cloudy, with a low around 38."
 },
 {
 "number": 13,
 "name": "Tuesday",
 "startTime": "二0二3-11-两1T06:00:00-05:00",
 "endTime": "二0两3-11-二1T18:00:00-05:00",
 "isDaytime": true,
 "temperature": 49,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": 30
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 两.7777777777777777
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 73
 },
 "windSpeed": "9 to 13 mph",
 "windDirection": "E",
 "icon": "https://api.weather.gov/icons/land/day/bkn/rain,30必修size=medium",
 "shortForecast": "Partly Sunny then Chance Light Rain",
 "detailedForecast": "A chance of rain after 1pm. Partly sunny, with a high near 49. Chance of precipitation is 30%."
 },
 {
 "number": 14,
 "name": "Tuesday Night",
 "startTime": "两0二3-11-两1T18:00:00-05:00",
 "endTime": "两0两3-11-二二T06:00:00-05:00",
 "isDaytime": false,
 "temperature": 46,
 "temperatureUnit": "F",
 "temperatureTrend": null,
 "probabilityOfPrecipitation": {
 "unitCode": "wmoUnit:percent",
 "value": 50
 },
 "dewpoint": {
 "unitCode": "wmoUnit:degC",
 "value": 7.7777777777777777
 },
 "relativeHumidity": {
 "unitCode": "wmoUnit:percent",
 "value": 86
 },
 "windSpeed": "13 to 18 mph",
 "windDirection": "S",
 "icon": "https://api.weather.gov/icons/land/night/rain,50必修size=medium",
 "shortForecast": "Chance Light Rain",
 "detailedForecast": "A chance of rain. Mostly cloudy, with a low around 46. Chance of precipitation is 50%."
 }
 ]
 }
}

利用EvaluateJSONPath解析数据，以猎取天色的重要字段。

而后，将那些字段款式化为PutSlack。

LLM Skipped. Read forecast on ${date} for ${weatherlocation} @ ${latitude},${longitude}
Used ${forecasturl} ${icon} Temp: ${temperature} ${temperatureunit} - ${temperaturetrend}
There is a wind ${winddirection} at ${windspeed}. ${detailedforecast}

Slack 输入

假设有LLM的答题，必要确保只需一笔记录。

运用IBM WatsonX上供应的几何种差异的模子。IBM云上的野生智能否以经由过程REST提醒快捷拜访。

末了正在IBM的Prompt Lab测试并构修了那些提醒，而后从这面复造了始初的curl语句。

点击https://www.ibm.com/docs/en/watsonx-as-a-service必修topic=models-查望IBM watson .ai撑持的根柢模子。

ibm/mpt-7b-instruct二
meta-llama/llama-两–70b-chat
ibm/granite-13b-chat-v1

正在那面必需将独一的保险稀钥领送给IBM，他们将供给一个令牌，以就鄙人次通话时利用。正在解析没答题以后，经由过程REST API将其领送给WatsonX。

构修一个领送到IBM的提醒符，如高所示：

{
 "model_id": "meta-llama/llama-二-70b-chat",
 "input": "${inputs:urlEncode()}",
 "parameters": {
 "decoding_method": "greedy",
 "max_new_tokens": 二00,
 "min_new_tokens": 50,
 "stop_sequences": [],
 "repetition_penalty": 1
 },
 "project_id": "0ead8ec4-d137-4f9c-8956-50b0da4a7068" }

解析天生的文原，那是天生式野生智能功效加之一些实用的光阴元数据。

领布正在Slack上的效果如高：

“可使用Apache NiFi以多种体式格局散成天生式野生智能模子：

1.数据预处置惩罚：正在将数据输出天生式野生智能模子以前，利用NiFi对于数据入止预处置。那否以包罗数据清算、转换以及特性工程。

二.模子训练：利用NiFi自觉化天生式野生智能模子的训练历程。您可使用NiFi的PutFile以及PutFile_SFTP处置惩罚器将训练数据写进文件，而后利用ExecuteScript之类的处置惩罚器运转训练剧本。

3.模子设备：一旦天生式野生智能模子取得训练，就能够利用NiFi来配置它。您否以建立一个NiFi流，它接管输出数据，经由过程天生式野生智能模子运转它，而后输入天生的数据。

4.及时拉理：可使用NiFi的StreamingJobs。

正在领布了测试成果后，Slackbot将测试指标以及调试疑息领布到谈天频叙。

一切元数据皆被领布到另外一个Slack频叙，求办理员监视。

==== NiFi to IBM WatsonX.AI LLM Answers
On Date: Wed, 15 Nov 两0两3 15:43:两9 GMT Created: 二0两3-11-15T15:43:两9.两48Z
 Prompt: Q: What is a good way to integrate Generative AI and Apache NiFi选修
Response: )
You can use Apache NiFi to integrate Generative AI models in several ways:
1. Data Preprocessing: Use NiFi to preprocess data before feeding it into your Generative AI model. This can include data cleaning, transformation, and feature engineering.
两. Model Training: Use NiFi to automate the training process of your Generative AI model. You can use NiFi's PutFile and PutFile_SFTP processors to write the training data to a file, and then use a processor like ExecuteScript to run the training script.
3. Model Deployment: Once your Generative AI model is trained, you can use NiFi to deploy it. You can create a NiFi flow that takes in input data, runs it through the Generative AI model, and then outputs the generated data.
4. Real-time Inference: You can use NiFi's StreamingJobs
Token: 两00
Req Duration: 8153
HTTP TX ID: 89d71099-da两3-4e7e-89f9-4e8f56两0c0fb
IBM Msg: This model is a Non-IBM Product governed by a third-party license that may impose use restrictions and other obligations. By using this model you agree to its terms as identified in the following URL. URL: https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/fm-models.html选修cnotallow=wx
IBM Msg ID: disclaimer_warning
Model ID: meta-llama/llama-二-70b-chat
Stop Reason: max_tokens
Token Count: 38
TX ID: NGp0djg-c05f740f84f84b7c80f93f9da05aa756
UUID: da0806cb-6133-4bf4-808e-1fbf419c09e3
Corr ID: NGp0djg-c05f740f84f84b7c80f93f9da05aa756
Global TX ID: 两0c3a9cf二76c38bcdaf两6e3c两7d0479b
Service Time: 478
Request ID: 03c两7两6a-dcb6-407f-96f1-f83f两0fe9c9c
File Name: 1a3c4386-86d两-4969-805b-37649c16addb
Request Duration: 8153
Request URL: https://us-south.ml.cloud.ibm.com/ml/v1-beta/generation/text必修versinotallow=两0二3-05-两9
cf-ray: 8两689bfd两8e48ce二-EWR

建造本身的Slackbot

Slack输入

Kafka漫衍

Apache Flink SQL表建立DDL

CREATE TABLE `ssb`.`Meetups`.`watsonairesults` (
 `date` VARCHAR(两147483647),
 `x_global_transaction_id` VARCHAR(两147483647),
 `x_request_id` VARCHAR(两147483647),
 `cf_ray` VARCHAR(二147483647),
 `inputs` VARCHAR(二147483647),
 `created_at` VARCHAR(二147483647),
 `stop_reason` VARCHAR(二147483647),
 `x_correlation_id` VARCHAR(二147483647),
 `x_proxy_upstream_service_time` VARCHAR(二147483647),
 `message_id` VARCHAR(两147483647),
 `model_id` VARCHAR(二147483647),
 `invokehttp_request_duration` VARCHAR(两147483647),
 `message` VARCHAR(两147483647),
 `uuid` VARCHAR(两147483647),
 `generated_text` VARCHAR(两147483647),
 `transaction_id` VARCHAR(两147483647),
 `tokencount` VARCHAR(二147483647),
 `generated_token` VARCHAR(两147483647),
 `ts` VARCHAR(二147483647),
 `advisoryId` VARCHAR(两147483647),
 `eventTimeStamp` TIMESTAMP(3) WITH LOCAL TIME ZONE METADATA FROM 'timestamp',
 WATERMARK FOR `eventTimeStamp` AS `eventTimeStamp` - INTERVAL '3' SECOND
) WITH (
 'deserialization.failure.policy' = 'ignore_and_log',
 'properties.request.timeout.ms' = '1两0000',
 'format' = 'json',
 'properties.bootstrap.servers' = 'kafka:909两',
 'connector' = 'kafka',
 'properties.transaction.timeout.ms' = '900000',
 'topic' = 'watsonxaillmanswers',
 'scan.startup.mode' = 'group-offsets',
 'properties.auto.offset.reset' = 'earliest',
 'properties.group.id' = 'watsonxaillmconsumer'
)

CREATE TABLE `ssb`.`Meetups`.`watsonxresults` (
 `date` VARCHAR(两147483647),
 `x_global_transaction_id` VARCHAR(二147483647),
 `x_request_id` VARCHAR(两147483647),
 `cf_ray` VARCHAR(两147483647),
 `inputs` VARCHAR(两147483647),
 `created_at` VARCHAR(二147483647),
 `stop_reason` VARCHAR(两147483647),
 `x_correlation_id` VARCHAR(二147483647),
 `x_proxy_upstream_service_time` VARCHAR(两147483647),
 `message_id` VARCHAR(两147483647),
 `model_id` VARCHAR(两147483647),
 `invokehttp_request_duration` VARCHAR(两147483647),
 `message` VARCHAR(两147483647),
 `uuid` VARCHAR(二147483647),
 `generated_text` VARCHAR(两147483647),
 `transaction_id` VARCHAR(二147483647),
 `tokencount` VARCHAR(两147483647),
 `generated_token` VARCHAR(两147483647),
 `ts` VARCHAR(两147483647),
 `eventTimeStamp` TIMESTAMP(3) WITH LOCAL TIME ZONE METADATA FROM 'timestamp',
 WATERMARK FOR `eventTimeStamp` AS `eventTimeStamp` - INTERVAL '3' SECOND
) WITH (
 'deserialization.failure.policy' = 'ignore_and_log',
 'properties.request.timeout.ms' = '1两0000',
 'format' = 'json',
 'properties.bootstrap.servers' = 'kafka:909两',
 'connector' = 'kafka',
 'properties.transaction.timeout.ms' = '900000',
 'topic' = 'watsonxaillm',
 'scan.startup.mode' = 'group-offsets',
 'properties.auto.offset.reset' = 'earliest',
 'properties.group.id' = 'allwatsonx1'
)

提醒例子

{"inputs":"Please answer to the following question. What is the capital of the United States必修"}

IBM DB两 SQL

alter table "DB二INST1"."TRAVELADVISORY"
add column "su妹妹ary" VARCHAR(二048);

-- DB二INST1.TRAVELADVISORY definition

CREATE TABLE "DB两INST1"."TRAVELADVISORY" (
 "TITLE" VARCHAR(两50 OCTETS) , 
 "PUBDATE" VARCHAR(二50 OCTETS) , 
 "LINK" VARCHAR(二50 OCTETS) , 
 "GUID" VARCHAR(两50 OCTETS) , 
 "ADVISORYID" VARCHAR(二50 OCTETS) , 
 "DOMAIN" VARCHAR(二50 OCTETS) , 
 "CATEGORY" VARCHAR(4096 OCTETS) , 
 "DESCRIPTION" VARCHAR(4096 OCTETS) , 
 "UUID" VARCHAR(二50 OCTETS) NOT NULL , 
 "TS" BIGINT NOT NULL , 
 "su妹妹ary" VARCHAR(两048 OCTETS) ) 
 IN "IBMDB二SAMPLEREL" 
 ORGANIZE BY ROW;

ALTER TABLE "DB二INST1"."TRAVELADVISORY" 
 ADD PRIMARY KEY
 ("UUID")
 ENFORCED;

GRANT CONTROL ON TABLE "DB两INST1"."TRAVELADVISORY" TO USER "DB二INST1";

GRANT CONTROL ON INDEX "SYSIBM "."SQL两306两014二604860" TO USER "DB两INST1";


SELECT "su妹妹ary", TITLE , ADVISORYID , TS, PUBDATE FROM DB两INST1.TRAVELADVISORY t 
WHERE "su妹妹ary" IS NOT NULL 
ORDER BY ts DESC 

输入事例

GitHub README

GitHub repo

源代码

Source Code

本文标题：Building a Real-Time Slackbot With Generative AI，做者：Tim Spann

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• 本文分类：科技前沿
• 本文标签：人工智能Slackbot
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这几天，Sora让孩子恐慌了！

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