Commit
•
49f472a
1
Parent(s):
c99c2e1
feat: push custom dataset
Browse files- README.md +40 -0
- samples_eval.jsonl +0 -0
- samples_train.jsonl +0 -0
- topics.txt +629 -0
README.md
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| 1 |
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---
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| 2 |
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license: apache-2.0
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+
task_categories:
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- feature-extraction
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- sentence-similarity
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language:
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- en
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- mteb
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- AI
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- Multimodal
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- Cloud-native
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- Enterprise
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- Development
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pretty_name: AI technology solutions
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size_categories:
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- n<1K
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+
---
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# jina-embeddings-v2-base-en-06052024-6bdu-webapp Dataset
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## Dataset Description
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The dataset is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.
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## Associated Model
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This dataset was used to train the [**jina-embeddings-v2-base-en-06052024-6bdu-webapp**](https://huggingface.co/fine-tuned/jina-embeddings-v2-base-en-06052024-6bdu-webapp) model.
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## How to Use
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To use this dataset for model training or evaluation, you can load it using the Hugging Face `datasets` library as follows:
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```python
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from datasets import load_dataset
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dataset_name = "jina-embeddings-v2-base-en-06052024-6bdu-webapp"
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dataset = load_dataset(dataset_name)
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```
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samples_eval.jsonl
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The diff for this file is too large to render.
See raw diff
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samples_train.jsonl
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The diff for this file is too large to render.
See raw diff
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topics.txt
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@@ -0,0 +1,629 @@
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| 1 |
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A Python vector database
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| 2 |
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A cloud service
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| 3 |
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A human-in-the-Loop workflow
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| 4 |
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A safe place
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| 5 |
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ACL
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| 6 |
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AI technology
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| 7 |
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AIGC applications
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| 8 |
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AIGC applications
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| 9 |
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AIGC applications
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| 10 |
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AIGC applications
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| 11 |
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AIGC applications
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| 12 |
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AIGC applications
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| 13 |
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AIGC applications
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| 14 |
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AIGC applications
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| 15 |
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AIGC applications
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| 16 |
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AIGC applications
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| 17 |
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AIGC applications
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| 18 |
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AIGC applications
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| 19 |
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AIGC applications
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| 20 |
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AIGC applications
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| 21 |
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AIGC applications
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| 22 |
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AIGC applications
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| 23 |
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AIGC applications
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| 24 |
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AIGC applications
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| 25 |
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AIGC applications
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| 26 |
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AIGC applications
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| 27 |
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AIGC applications
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| 28 |
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AIGC applications
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| 29 |
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AIGC applications
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AIGC applications
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| 31 |
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AIGC applications
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AIGC applications
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AIGC applications
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| 34 |
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AIGC applications
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| 35 |
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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| 41 |
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AIGC applications
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| 42 |
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AIGC applications
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AIGC applications
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| 44 |
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API key
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| 45 |
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Agent techniques
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| 46 |
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An experimental finetuner
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| 47 |
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Applications
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| 48 |
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Apps
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| 49 |
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Artworks
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| 50 |
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Backfire
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| 51 |
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Balk
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| 52 |
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Ballast
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Ballast Resistor
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Banner
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Baojun
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Beltline
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Bentley
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Benz
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Bertone
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BestBanner
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BharatBenz
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Bi-turbo
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Bi-xenon
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Biodiesel
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Bitter
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Bizzarrini
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Blind
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Blow-off
|
| 69 |
+
Bluetooth
|
| 70 |
+
Bollinger
|
| 71 |
+
Bolt
|
| 72 |
+
Bolwell
|
| 73 |
+
Boost
|
| 74 |
+
Bore
|
| 75 |
+
Borgward
|
| 76 |
+
Bowler
|
| 77 |
+
Brabus
|
| 78 |
+
Brake
|
| 79 |
+
Brilliance
|
| 80 |
+
Bristol
|
| 81 |
+
British
|
| 82 |
+
Brooke
|
| 83 |
+
Brushless
|
| 84 |
+
Brütsch
|
| 85 |
+
Bucket
|
| 86 |
+
Bufori
|
| 87 |
+
Bugatti
|
| 88 |
+
Buick
|
| 89 |
+
Bump
|
| 90 |
+
Bumper
|
| 91 |
+
Bushing
|
| 92 |
+
Butterfly
|
| 93 |
+
Byton
|
| 94 |
+
CLIP
|
| 95 |
+
CLIP-as-service
|
| 96 |
+
Cloud
|
| 97 |
+
Cloud-native
|
| 98 |
+
Cloud-native
|
| 99 |
+
Cloud-native
|
| 100 |
+
Cloud-native
|
| 101 |
+
Cloud-native
|
| 102 |
+
Cloud-native
|
| 103 |
+
Cloud-native
|
| 104 |
+
Cloud-native
|
| 105 |
+
Cloud-native
|
| 106 |
+
Cloud-native
|
| 107 |
+
Cloud-native
|
| 108 |
+
Cloud-native
|
| 109 |
+
Cloud-native
|
| 110 |
+
Cloud-native
|
| 111 |
+
Cloud-native
|
| 112 |
+
Cloud-native
|
| 113 |
+
Cloud-native
|
| 114 |
+
Cloud-native
|
| 115 |
+
Cloud-native
|
| 116 |
+
Cloud-native
|
| 117 |
+
Cloud-native
|
| 118 |
+
Cloud-native
|
| 119 |
+
Cloud-native
|
| 120 |
+
Cloud-native
|
| 121 |
+
Cloud-native
|
| 122 |
+
Cloud-native
|
| 123 |
+
Cloud-native
|
| 124 |
+
Cloud-native
|
| 125 |
+
Cloud-native
|
| 126 |
+
Cloud-native
|
| 127 |
+
Cloud-native
|
| 128 |
+
Cloud-native
|
| 129 |
+
Cloud-native
|
| 130 |
+
Cloud-native
|
| 131 |
+
Cloud-native
|
| 132 |
+
Cloud-native
|
| 133 |
+
Cloud-native
|
| 134 |
+
Cloud-native
|
| 135 |
+
Cloud-native
|
| 136 |
+
Cloud-native
|
| 137 |
+
Cloud-native
|
| 138 |
+
Cloud-native
|
| 139 |
+
Cloud-native
|
| 140 |
+
Cloud-native
|
| 141 |
+
Cloud-native
|
| 142 |
+
Cloud-native
|
| 143 |
+
Cutting-edge
|
| 144 |
+
DALL-E Flow
|
| 145 |
+
Data Structure
|
| 146 |
+
Database
|
| 147 |
+
Deploy
|
| 148 |
+
DevGPT
|
| 149 |
+
Developer-friendly
|
| 150 |
+
Developers
|
| 151 |
+
Development
|
| 152 |
+
Disco Diffusion
|
| 153 |
+
DiscoArt
|
| 154 |
+
DocArray
|
| 155 |
+
Domain Specific
|
| 156 |
+
Download
|
| 157 |
+
Dynamic
|
| 158 |
+
E-commerce
|
| 159 |
+
E-learning
|
| 160 |
+
EMNLP
|
| 161 |
+
Earnings
|
| 162 |
+
Ease of Use
|
| 163 |
+
Easy-to-use
|
| 164 |
+
Ecosystem
|
| 165 |
+
Edge Computing
|
| 166 |
+
Editor
|
| 167 |
+
Education
|
| 168 |
+
Effectiveness
|
| 169 |
+
Efficiency
|
| 170 |
+
Elasticsearch
|
| 171 |
+
Electron
|
| 172 |
+
Element
|
| 173 |
+
Embed
|
| 174 |
+
Embeddings
|
| 175 |
+
Emotion Recognition
|
| 176 |
+
Empower
|
| 177 |
+
Enable
|
| 178 |
+
Encapsulation
|
| 179 |
+
Encoding
|
| 180 |
+
Encryption
|
| 181 |
+
End-to-End
|
| 182 |
+
Engagement
|
| 183 |
+
Engine
|
| 184 |
+
Enhance
|
| 185 |
+
Enterprise
|
| 186 |
+
Entertainment
|
| 187 |
+
Entity
|
| 188 |
+
Entrepreneur
|
| 189 |
+
Environment
|
| 190 |
+
Ephemeral
|
| 191 |
+
Epic
|
| 192 |
+
Equity
|
| 193 |
+
Erase
|
| 194 |
+
Error Handling
|
| 195 |
+
Estimate
|
| 196 |
+
Ethics
|
| 197 |
+
Evaluate
|
| 198 |
+
Event
|
| 199 |
+
Evolution
|
| 200 |
+
Exabyte
|
| 201 |
+
Exception
|
| 202 |
+
Exchange
|
| 203 |
+
Executable
|
| 204 |
+
Exercise
|
| 205 |
+
Exhibit
|
| 206 |
+
Expand
|
| 207 |
+
Experience
|
| 208 |
+
Expert
|
| 209 |
+
Explain
|
| 210 |
+
Explore
|
| 211 |
+
Export
|
| 212 |
+
Express
|
| 213 |
+
Extend
|
| 214 |
+
Extraction
|
| 215 |
+
FastAPI
|
| 216 |
+
Finetuner
|
| 217 |
+
Flow
|
| 218 |
+
Framework
|
| 219 |
+
GPT
|
| 220 |
+
GPT
|
| 221 |
+
GPT
|
| 222 |
+
GPT
|
| 223 |
+
GPT
|
| 224 |
+
GPT
|
| 225 |
+
GPT
|
| 226 |
+
GPT
|
| 227 |
+
GPT
|
| 228 |
+
GPT
|
| 229 |
+
GPT
|
| 230 |
+
GPT
|
| 231 |
+
GPT
|
| 232 |
+
GPT
|
| 233 |
+
GPT
|
| 234 |
+
GPT
|
| 235 |
+
GPT
|
| 236 |
+
GPT
|
| 237 |
+
GPT
|
| 238 |
+
GPT
|
| 239 |
+
GPT
|
| 240 |
+
GPT
|
| 241 |
+
GPT
|
| 242 |
+
GPT
|
| 243 |
+
GPT
|
| 244 |
+
GPT
|
| 245 |
+
GPT
|
| 246 |
+
GPT
|
| 247 |
+
GPT
|
| 248 |
+
GPT
|
| 249 |
+
GPT
|
| 250 |
+
GPT
|
| 251 |
+
GPT
|
| 252 |
+
GPT
|
| 253 |
+
GPT
|
| 254 |
+
GPT
|
| 255 |
+
GPT
|
| 256 |
+
GPT
|
| 257 |
+
GPT
|
| 258 |
+
GPT
|
| 259 |
+
GPT
|
| 260 |
+
GPT
|
| 261 |
+
GPT
|
| 262 |
+
GPT
|
| 263 |
+
GPT
|
| 264 |
+
GPT
|
| 265 |
+
HBase
|
| 266 |
+
HD Images
|
| 267 |
+
HTML5 Canvas
|
| 268 |
+
HTTP/2
|
| 269 |
+
HTTP/3
|
| 270 |
+
HTTPS Encryption
|
| 271 |
+
Hackathon
|
| 272 |
+
Haptic Feedback
|
| 273 |
+
Hard Fork
|
| 274 |
+
Hardware Acceleration
|
| 275 |
+
Hash Function
|
| 276 |
+
Hashing
|
| 277 |
+
Haskell
|
| 278 |
+
Headless Browser
|
| 279 |
+
Heap Allocation
|
| 280 |
+
Heartbeat Signal
|
| 281 |
+
Heuristic Analysis
|
| 282 |
+
High Availability
|
| 283 |
+
High-Definition
|
| 284 |
+
High-Dimensional
|
| 285 |
+
High-Performance Computing
|
| 286 |
+
High-Quality Enterprise Search
|
| 287 |
+
Histogram Equalization
|
| 288 |
+
Homomorphic Encryption
|
| 289 |
+
Horizontal Scaling
|
| 290 |
+
Hosted Services
|
| 291 |
+
Hot Swapping
|
| 292 |
+
Hybrid Cloud
|
| 293 |
+
Hybrid Model
|
| 294 |
+
Hyper-Parameter Tuning
|
| 295 |
+
Hyper-V
|
| 296 |
+
Hyperconverged Infrastructure
|
| 297 |
+
Hyperledger
|
| 298 |
+
Hyperscale
|
| 299 |
+
Hypertext Preprocessor
|
| 300 |
+
Hypervisor
|
| 301 |
+
IAM (Identity and Access Management)
|
| 302 |
+
ICML (International Conference on Machine Learning)
|
| 303 |
+
IPFS (InterPlanetary File System)
|
| 304 |
+
Image Captioning
|
| 305 |
+
Image Classification
|
| 306 |
+
Image Embedding
|
| 307 |
+
Image Generation
|
| 308 |
+
Image Recognition
|
| 309 |
+
Image Segmentation
|
| 310 |
+
Image-to-Text
|
| 311 |
+
Immutable Infrastructure
|
| 312 |
+
Impala
|
| 313 |
+
Implicit Feedback
|
| 314 |
+
Import/Export Utility
|
| 315 |
+
In-Memory Computing
|
| 316 |
+
Inception Module
|
| 317 |
+
Incremental Learning
|
| 318 |
+
Indexing
|
| 319 |
+
Inference Engine
|
| 320 |
+
Information Retrieval
|
| 321 |
+
Infrastructure as Code
|
| 322 |
+
Ingress Controller
|
| 323 |
+
Inheritance
|
| 324 |
+
Initial Coin Offering
|
| 325 |
+
InkML
|
| 326 |
+
Input/Output Operations
|
| 327 |
+
Instance Segmentation
|
| 328 |
+
Instantiation
|
| 329 |
+
Instruction Set Architecture
|
| 330 |
+
Integrated Development Environment
|
| 331 |
+
Intelligent Document Processing
|
| 332 |
+
Interactive Query Service
|
| 333 |
+
Interlingua
|
| 334 |
+
Internationalization
|
| 335 |
+
Internet of Things
|
| 336 |
+
Interoperability
|
| 337 |
+
Interpretability
|
| 338 |
+
Intrusion Detection System
|
| 339 |
+
Inversion of Control
|
| 340 |
+
IoT Platform
|
| 341 |
+
Iris Recognition
|
| 342 |
+
Isomorphic JavaScript
|
| 343 |
+
Iterative Process
|
| 344 |
+
JAMstack
|
| 345 |
+
JCloud
|
| 346 |
+
JDBC (Java Database Connectivity)
|
| 347 |
+
JPEG 2000
|
| 348 |
+
JSON Web Token
|
| 349 |
+
Jaccard Index
|
| 350 |
+
Java Virtual Machine
|
| 351 |
+
JavaScript Object Notation
|
| 352 |
+
Jena Framework
|
| 353 |
+
Jerboa
|
| 354 |
+
Jina
|
| 355 |
+
JinaChat
|
| 356 |
+
Joint Application Development
|
| 357 |
+
Jupyter Notebook
|
| 358 |
+
Just-In-Time Compilation
|
| 359 |
+
K-nearest Neighbors
|
| 360 |
+
Kafka
|
| 361 |
+
Kaggle
|
| 362 |
+
Kali Linux
|
| 363 |
+
Kanban
|
| 364 |
+
Keras
|
| 365 |
+
Kernel
|
| 366 |
+
Key Management
|
| 367 |
+
Key Performance Indicator
|
| 368 |
+
Key-Value Store
|
| 369 |
+
Keystone
|
| 370 |
+
Kibana
|
| 371 |
+
Kinesis
|
| 372 |
+
Kiosk Mode
|
| 373 |
+
Kotlin
|
| 374 |
+
Kubernetes
|
| 375 |
+
Kusto Query Language
|
| 376 |
+
LangChain-Serve
|
| 377 |
+
Langchain
|
| 378 |
+
Large
|
| 379 |
+
Latest
|
| 380 |
+
Layer
|
| 381 |
+
Lead
|
| 382 |
+
Learn
|
| 383 |
+
Learning
|
| 384 |
+
Lease
|
| 385 |
+
Leather
|
| 386 |
+
Led
|
| 387 |
+
Left
|
| 388 |
+
Legacy
|
| 389 |
+
Legal
|
| 390 |
+
Length
|
| 391 |
+
Level
|
| 392 |
+
Leverage
|
| 393 |
+
Library
|
| 394 |
+
License
|
| 395 |
+
Life
|
| 396 |
+
Lift
|
| 397 |
+
Light
|
| 398 |
+
Lighting
|
| 399 |
+
Like
|
| 400 |
+
Likelihood
|
| 401 |
+
Limit
|
| 402 |
+
Line
|
| 403 |
+
Linear
|
| 404 |
+
Link
|
| 405 |
+
List
|
| 406 |
+
Load
|
| 407 |
+
Local
|
| 408 |
+
Location
|
| 409 |
+
Lock
|
| 410 |
+
Log
|
| 411 |
+
Logic
|
| 412 |
+
Long
|
| 413 |
+
Look
|
| 414 |
+
Loop
|
| 415 |
+
Loss
|
| 416 |
+
Low
|
| 417 |
+
Lower
|
| 418 |
+
Machine
|
| 419 |
+
Maintain
|
| 420 |
+
Maintenance
|
| 421 |
+
Major
|
| 422 |
+
Make
|
| 423 |
+
Management
|
| 424 |
+
Manager
|
| 425 |
+
Manual
|
| 426 |
+
Neural Network
|
| 427 |
+
Neuromorphic Computing
|
| 428 |
+
Neurosymbolic AI
|
| 429 |
+
Non-Maximum Suppression
|
| 430 |
+
Object Detection
|
| 431 |
+
Object Segmentation
|
| 432 |
+
Object Tracking
|
| 433 |
+
Offline Reinforcement Learning
|
| 434 |
+
Online Learning
|
| 435 |
+
Ontology Engineering
|
| 436 |
+
OpenAI Codex
|
| 437 |
+
OpenPose
|
| 438 |
+
Optical Character Recognition
|
| 439 |
+
Optical Flow
|
| 440 |
+
Optimization Algorithm
|
| 441 |
+
Oracle Machine Learning
|
| 442 |
+
Outlier Detection
|
| 443 |
+
Overfitting Prevention
|
| 444 |
+
Oversampling Technique
|
| 445 |
+
Oxford Nanopore Sequencing
|
| 446 |
+
Parallel Computing
|
| 447 |
+
Pattern Recognition
|
| 448 |
+
Perceptual Hashing
|
| 449 |
+
Persistent Memory
|
| 450 |
+
Petabyte Scale Storage
|
| 451 |
+
Phonetic Search
|
| 452 |
+
Physical Unclonable Function
|
| 453 |
+
Pixel-wise Segmentation
|
| 454 |
+
Policy Gradient Methods
|
| 455 |
+
Pose Estimation
|
| 456 |
+
Pre-trained Model
|
| 457 |
+
Predictive Analytics
|
| 458 |
+
Privacy-Preserving Machine Learning
|
| 459 |
+
Probabilistic Graphical Models
|
| 460 |
+
Program Synthesis
|
| 461 |
+
Projective Geometry
|
| 462 |
+
PromptPerfect
|
| 463 |
+
Proximal Policy Optimization
|
| 464 |
+
Publications
|
| 465 |
+
Python
|
| 466 |
+
Q
|
| 467 |
+
Quality
|
| 468 |
+
Quality
|
| 469 |
+
Quality
|
| 470 |
+
Quality
|
| 471 |
+
Quality
|
| 472 |
+
Quality
|
| 473 |
+
Quality
|
| 474 |
+
Quality
|
| 475 |
+
Quality
|
| 476 |
+
Quality
|
| 477 |
+
Quality
|
| 478 |
+
Quality
|
| 479 |
+
Quality
|
| 480 |
+
Quality
|
| 481 |
+
Quality
|
| 482 |
+
Quality
|
| 483 |
+
Quality
|
| 484 |
+
Quality
|
| 485 |
+
Quality
|
| 486 |
+
Quality
|
| 487 |
+
Quality
|
| 488 |
+
Quality
|
| 489 |
+
Quality
|
| 490 |
+
Quality
|
| 491 |
+
Quality
|
| 492 |
+
Quality
|
| 493 |
+
Quality
|
| 494 |
+
Quality
|
| 495 |
+
Quality
|
| 496 |
+
Quality
|
| 497 |
+
Quality
|
| 498 |
+
Quality
|
| 499 |
+
Quality
|
| 500 |
+
Quality
|
| 501 |
+
Quality
|
| 502 |
+
Quality
|
| 503 |
+
Quality
|
| 504 |
+
Quality
|
| 505 |
+
Quality
|
| 506 |
+
Quality
|
| 507 |
+
Quality
|
| 508 |
+
Quality
|
| 509 |
+
Quality
|
| 510 |
+
Quality
|
| 511 |
+
Quality
|
| 512 |
+
Quality
|
| 513 |
+
Quality
|
| 514 |
+
Quality
|
| 515 |
+
Quantum Machine Learning
|
| 516 |
+
Query Expansion
|
| 517 |
+
RAG
|
| 518 |
+
Random Forests
|
| 519 |
+
Rapid Reinforcement Learning
|
| 520 |
+
Rationale
|
| 521 |
+
Real-time Object Detection
|
| 522 |
+
Recommender Systems
|
| 523 |
+
Recurrent Neural Networks
|
| 524 |
+
Reinforcement Learning
|
| 525 |
+
Remote Sensing Data
|
| 526 |
+
Residual Networks
|
| 527 |
+
Robotic Process Automation
|
| 528 |
+
Rule-based Systems
|
| 529 |
+
RunGPT
|
| 530 |
+
SDK
|
| 531 |
+
SIGIR
|
| 532 |
+
SLA
|
| 533 |
+
SSL
|
| 534 |
+
Scalability
|
| 535 |
+
SceneXplain
|
| 536 |
+
Search
|
| 537 |
+
Secure
|
| 538 |
+
Security
|
| 539 |
+
Semantic
|
| 540 |
+
Serve
|
| 541 |
+
Service
|
| 542 |
+
Session
|
| 543 |
+
Setup
|
| 544 |
+
Similarity
|
| 545 |
+
Simple
|
| 546 |
+
Simulation
|
| 547 |
+
Single-Sign-On
|
| 548 |
+
Site
|
| 549 |
+
Size
|
| 550 |
+
Skill
|
| 551 |
+
Smart
|
| 552 |
+
Solution
|
| 553 |
+
Sophisticated
|
| 554 |
+
Source
|
| 555 |
+
Space
|
| 556 |
+
Span
|
| 557 |
+
Specialization
|
| 558 |
+
Specific
|
| 559 |
+
Specs
|
| 560 |
+
Speed
|
| 561 |
+
Stack
|
| 562 |
+
Standard
|
| 563 |
+
Start
|
| 564 |
+
State
|
| 565 |
+
Static
|
| 566 |
+
Statistical
|
| 567 |
+
Status
|
| 568 |
+
Storage
|
| 569 |
+
Strategy
|
| 570 |
+
Stream
|
| 571 |
+
Strength
|
| 572 |
+
Structure
|
| 573 |
+
Study
|
| 574 |
+
Style
|
| 575 |
+
Subdomain
|
| 576 |
+
Submission
|
| 577 |
+
Subscribe
|
| 578 |
+
Success
|
| 579 |
+
Support
|
| 580 |
+
System
|
| 581 |
+
Systematic
|
| 582 |
+
Tokenization
|
| 583 |
+
Top-up
|
| 584 |
+
Training
|
| 585 |
+
Trials
|
| 586 |
+
Unleash
|
| 587 |
+
VectorDB
|
| 588 |
+
Virtual
|
| 589 |
+
Workflow
|
| 590 |
+
Xplain
|
| 591 |
+
Your
|
| 592 |
+
Z
|
| 593 |
+
Z-score
|
| 594 |
+
Zebra
|
| 595 |
+
Zero-shot
|
| 596 |
+
Zettabyte
|
| 597 |
+
Zettabyte
|
| 598 |
+
Zettabyte
|
| 599 |
+
Zettabyte
|
| 600 |
+
Zettaflops
|
| 601 |
+
Zettagram
|
| 602 |
+
Zettagram
|
| 603 |
+
Zettagram
|
| 604 |
+
Zettahertz
|
| 605 |
+
Zettahertz
|
| 606 |
+
Zettahertz
|
| 607 |
+
Zettajoule
|
| 608 |
+
Zettajoule
|
| 609 |
+
Zettajoule
|
| 610 |
+
Zettajoule
|
| 611 |
+
Zettalitre
|
| 612 |
+
Zettalitre
|
| 613 |
+
Zettalitre
|
| 614 |
+
Zettameter
|
| 615 |
+
Zettameter
|
| 616 |
+
Zettameter
|
| 617 |
+
Zettamole
|
| 618 |
+
Zettamole
|
| 619 |
+
Zettamole
|
| 620 |
+
Zettasecond
|
| 621 |
+
Zettasecond
|
| 622 |
+
Zettasecond
|
| 623 |
+
Zettawatt
|
| 624 |
+
Zettawatt
|
| 625 |
+
Zettawatt
|
| 626 |
+
Zettawatt
|
| 627 |
+
Zigbee
|
| 628 |
+
Zonal
|
| 629 |
+
Zoomable
|