Repository navigation
Expand file tree
/
Copy pathindex.html
More file actions
425 lines (373 loc) · 23.5 KB
/
Copy pathindex.html
File metadata and controls
425 lines (373 loc) · 23.5 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
<!--
//////////////////////////////////////////////////////
FREE HTML5 TEMPLATE
DESIGNED & DEVELOPED by FREEHTML5.CO
//////////////////////////////////////////////////////
-->
<!DOCTYPE html>
<!--[if lt IE 7]> <html class="no-js lt-ie9 lt-ie8 lt-ie7"> <![endif]-->
<!--[if IE 7]> <html class="no-js lt-ie9 lt-ie8"> <![endif]-->
<!--[if IE 8]> <html class="no-js lt-ie9"> <![endif]-->
<!--[if gt IE 8]><!--> <html class="no-js" lang="en"> <!--<![endif]-->
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Adam Rida — AI Researcher and Founder | DeepRecall, TRACER, Explainable AI</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="Adam Rida is an AI researcher and founder based between Paris and San Francisco. Creator of TRACER (open-source LLM routing and cost optimization via learned surrogates) and DeltaXplainer (dynamic interpretability for model comparison). Founder of DeepRecall. Former PhD candidate at Sorbonne University / AXA TRAIL lab. Research in LLM efficiency, explainable AI, learning to defer, and parity-gated deployment." />
<meta name="keywords" content="Adam Rida, AI researcher, machine learning researcher, DeepRecall, TRACER, tracer-llm, DeltaXplainer, explainable AI, XAI, LLM cost optimization, LLM routing, learning to defer, parity gate, surrogate models, model interpretability, concept drift, Sorbonne University, AXA, TRAIL lab, ECML-PKDD, trustworthy AI, AI safety, AI alignment, efficient inference, model cascading, AI research, deep learning, NLP" />
<meta name="author" content="Adam Rida" />
<link rel="canonical" href="https://adrida.github.io/" />
<!-- Open Graph -->
<meta property="og:type" content="profile" />
<meta property="og:title" content="Adam Rida — AI Researcher and Founder" />
<meta property="og:description" content="Creator of TRACER (LLM cost optimization) and DeltaXplainer (explainable AI). Founder of DeepRecall. Based between Paris and San Francisco." />
<meta property="og:image" content="https://adrida.github.io/images/profile.jpeg" />
<meta property="og:url" content="https://adrida.github.io/" />
<meta property="og:site_name" content="Adam Rida" />
<meta property="profile:first_name" content="Adam" />
<meta property="profile:last_name" content="Rida" />
<!-- Twitter Card -->
<meta name="twitter:card" content="summary" />
<meta name="twitter:site" content="@_adamr_1" />
<meta name="twitter:creator" content="@_adamr_1" />
<meta name="twitter:title" content="Adam Rida — AI Researcher and Founder" />
<meta name="twitter:description" content="Creator of TRACER (LLM cost optimization) and DeltaXplainer (explainable AI). Founder of DeepRecall." />
<meta name="twitter:image" content="https://adrida.github.io/images/profile.jpeg" />
<!-- Additional SEO -->
<meta name="robots" content="index, follow" />
<link rel="shortcut icon" href="images/profile.jpeg">
<!-- Google Webfont -->
<link href='https://fonts.googleapis.com/css?family=PT+Mono' rel='stylesheet' type='text/css'>
<!-- Themify Icons -->
<link rel="stylesheet" href="css/themify-icons.css">
<!-- Icomoon Icons -->
<link rel="stylesheet" href="css/icomoon-icons.css">
<!-- Bootstrap -->
<link rel="stylesheet" href="css/bootstrap.css">
<!-- Owl Carousel -->
<link rel="stylesheet" href="css/owl.carousel.min.css">
<link rel="stylesheet" href="css/owl.theme.default.min.css">
<!-- Magnific Popup -->
<link rel="stylesheet" href="css/magnific-popup.css">
<!-- Easy Responsive Tabs -->
<link rel="stylesheet" href="css/easy-responsive-tabs.css">
<!-- Theme Style -->
<link rel="stylesheet" href="css/style.css">
<!-- FOR IE9 below -->
<!--[if lte IE 9]>
<script src="js/modernizr-2.6.2.min.js"></script>
<script src="js/respond.min.js"></script>
<![endif]-->
<!-- JSON-LD Structured Data -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Person",
"name": "Adam Rida",
"url": "https://adrida.github.io",
"image": "https://adrida.github.io/images/profile.jpeg",
"jobTitle": "AI Researcher and Founder",
"worksFor": {
"@type": "Organization",
"name": "DeepRecall",
"url": "https://deeprecall.io"
},
"alumniOf": [
{
"@type": "CollegeOrUniversity",
"name": "Sorbonne University"
},
{
"@type": "CollegeOrUniversity",
"name": "CY Tech"
},
{
"@type": "CollegeOrUniversity",
"name": "Ecole 42"
}
],
"knowsAbout": ["Machine Learning", "Explainable AI", "LLM Cost Optimization", "Learning to Defer", "RAG", "Deep Learning"],
"sameAs": [
"https://github.com/adrida",
"https://x.com/_adamr_1",
"https://www.linkedin.com/in/adam-rida-581296142/",
"https://scholar.google.com/citations?user=Ia8Rku4AAAAJ",
"https://adam-rida.medium.com/",
"https://huggingface.co/Adr740"
]
}
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Adam Rida",
"url": "https://adrida.github.io",
"author": { "@type": "Person", "name": "Adam Rida" }
}
</script>
</head>
<body>
<!-- Header -->
<header id="fh5co-header" role="banner">
<div class="container">
<!-- Logo -->
<div id="fh5co-logo">
<!-- <img width="100" src="images/logo.png" alt="Work Logo" href="index.html">-->
</div>
<!-- Logo -->
<!-- Mobile Toggle Menu Button -->
<a href="#" class="js-fh5co-nav-toggle fh5co-nav-toggle"><i></i></a>
<!-- Main Nav -->
<div id="fh5co-main-nav">
<nav id="fh5co-nav" role="navigation">
<ul>
<li class="fh5co-active">
<a href="index.html">About</a>
</li>
<li>
<a href="#Pubs">Publications and Blogs</a>
</li>
<a href="#Open Source Projects">Open Source Projects</a> <a href="https://github.com/adrida" target="_blank" style="display:inline-block;position:relative;top:3px;margin-left:4px;border-bottom:none !important;"><img src="https://img.shields.io/github/stars/adrida?style=social" alt="Stars" style="height:20px;"></a>
</li>
</ul>
</a>
<style>
.social-icons { display: flex; align-items: center; gap: 16px; }
.social-icons a { display: inline-flex; align-items: center; text-decoration: none; }
.social-icons a svg { width: 20px; height: 20px; display: block; opacity: 0.7; transition: opacity 0.2s; }
.social-icons a:hover svg { opacity: 1; }
</style>
<div class="fh5co-nav-call-to-action js-fh5co-nav-call-to-action social-icons">
<a href="https://x.com/_adamr_1" target="_blank" title="X"><svg viewBox="0 0 24 24" fill="#000000"><path d="M18.901 1.153h3.68l-8.04 9.19L24 22.846h-7.406l-5.8-7.584-6.638 7.584H.474l8.6-9.83L0 1.154h7.594l5.243 6.932ZM17.61 20.644h2.039L6.486 3.24H4.298Z"/></svg></a>
<a href="https://github.com/adrida" target="_blank" title="GitHub"><svg viewBox="0 0 24 24" fill="#181717"><path d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12"/></svg></a>
<a href="https://scholar.google.com/citations?user=Ia8Rku4AAAAJ&hl" target="_blank" title="Google Scholar"><svg viewBox="0 0 24 24" fill="#4285F4"><path d="M5.242 13.769 0 9.5 12 0l12 9.5-5.242 4.269C17.548 11.249 14.978 9.5 12 9.5c-2.977 0-5.548 1.748-6.758 4.269ZM12 10a7 7 0 1 0 0 14 7 7 0 0 0 0-14Z"/></svg></a>
<a href="https://adam-rida.medium.com/" target="_blank" title="Medium"><svg viewBox="0 0 24 24" fill="#000000"><path d="M13.54 12a6.8 6.8 0 0 1-6.77 6.82A6.8 6.8 0 0 1 0 12a6.8 6.8 0 0 1 6.77-6.82A6.8 6.8 0 0 1 13.54 12ZM20.96 12c0 3.54-1.51 6.42-3.38 6.42-1.87 0-3.39-2.88-3.39-6.42s1.52-6.42 3.39-6.42 3.38 2.88 3.38 6.42ZM24 12c0 3.17-.53 5.75-1.19 5.75-.66 0-1.19-2.58-1.19-5.75s.53-5.75 1.19-5.75C23.47 6.25 24 8.83 24 12Z"/></svg></a>
<a href="https://huggingface.co/Adr740" target="_blank" title="Hugging Face" style="font-size:19px;line-height:1;">🤗</a>
<a href="https://www.linkedin.com/in/adam-rida-581296142/" target="_blank" title="LinkedIn"><svg viewBox="0 0 24 24" fill="#0A66C2"><path d="M20.447 20.452h-3.554v-5.569c0-1.328-.027-3.037-1.852-3.037-1.853 0-2.136 1.445-2.136 2.939v5.667H9.351V9h3.414v1.561h.046c.477-.9 1.637-1.85 3.37-1.85 3.601 0 4.267 2.37 4.267 5.455v6.286ZM5.337 7.433a2.062 2.062 0 0 1-2.063-2.065 2.064 2.064 0 1 1 2.063 2.065Zm1.782 13.019H3.555V9h3.564v11.452ZM22.225 0H1.771C.792 0 0 .774 0 1.729v20.542C0 23.227.792 24 1.771 24h20.451C23.2 24 24 23.227 24 22.271V1.729C24 .774 23.2 0 22.222 0h.003Z"/></svg></a>
</div>
</a>
</nav>
</div>
<!-- Main Nav -->
</div>
</header>
<!-- Header -->
<main role="main">
<!-- Start Intro -->
<div id="fh5co-intro">
<div class="container">
<img width="470" src="" align="left" >
<div class="row">
<img width="200" src="images/profile.jpeg" style="margin:0px 0px 0px 200px;" >
<h3>Adam Rida</h3>
<p>AI Researcher and Founder</p>
<p>Founder at <a href="https://deeprecall.io">DeepRecall</a> | ex PhD Candidate in ML at Sorbonne University and AXA</p>
adamrida.ra@gmail.com<br>
[<a href="https://github.com/adrida/adrida.github.io/blob/master/CV_ADAM_RIDA.pdf?raw=true">download CV</a>] [<a href="https://www.linkedin.com/in/adam-rida-581296142/">connect on linkedin</a>]
<p></p>
</div>
<div class='p12'>
<p>I am an AI researcher and founder based between Paris and San Francisco, building systems that make AI more efficient, interpretable, and deployable at scale.</p>
<p>I currently lead <a href="https://deeprecall.io">DeepRecall</a>, an AI-powered regulatory intelligence platform for marketplace enforcement, monitoring 120,000+ safety alerts across 8+ jurisdictions. I also created <a href="https://tracer.deeprecall.io">TRACER</a>, an open-source system that replaces expensive LLM classification calls with lightweight ML surrogates (<a href="https://github.com/adrida/tracer">pip install tracer-llm</a>).</p>
<p>Before founding DeepRecall, I was a PhD candidate at Sorbonne University within the <a href="https://trail.lip6.fr/">Trustworthy and Responsible AI Lab (TRAIL)</a>, a joint lab between Sorbonne and AXA focused on trustworthy AI. My research on explainable AI and model dynamics produced the <a href="https://github.com/adrida/deltaxplainer">DeltaXplainer</a> method for interpreting model differences over time, published at the DynXAI workshop of ECML-PKDD 2023.</p>
<p>I went through <a href="https://joinef.com">Entrepreneur First</a> (LD22), where I co-founded a venture helping private equity deal teams screen investments faster using advanced RAG techniques (GraphRAG, Graph Neural Networks). I built three live prototypes showcased to 100+ PE funds within two months.</p>
<p>As Head of AI at Autoplay AI, I designed and built the company's AI inference and processing pipeline from scratch, analyzing user behavior signals (events, mouse activity, hesitation patterns) to detect cohorts struggling with product adoption.</p>
<p>Earlier, I held ML engineering and data science roles at Societe Generale, AXA, Qantev, and Rebellion Research, working on anomaly detection, portfolio optimization, claims automation, and complex systems modeling.</p>
<p>I hold a Master's in Applied Mathematics from CY Tech and completed the <a href="https://42.fr/en/homepage/">Ecole 42</a> coding program. Outside of work, I am passionate about aviation and working towards my Private Pilot License (PPL).</p>
<p>Areas of Interest:</p>
<ul style="list-style-type: none; padding-left: 20px;">
<li>- LLM Cost Optimization, Routing, and Learning to Defer</li>
<li>- Explainable AI (XAI), Concept Drift, and Model Dynamics</li>
<li>- Regulatory AI, Compliance Automation</li>
<li>- Outlier Detection and Unsupervised Learning</li>
<li>- RAG, Document Parsing, Knowledge Representation</li>
</ul>
</div>
</div>
</div>
<!-- End Intro -->
</div>
<!-- Start Pub-->
<div id="fh5co-work">
<div class="container">
<a NAME="Pubs"><h4>Publications and Blogs</h4></a>
<div class="p13"> Show me in <a href="https://scholar.google.com/citations?user=Ia8Rku4AAAAJ&hl" >Google Scholar</a> or <a href="https://adam-rida.medium.com/">Medium</a></div>
<div class="row">
<!-- Start One paper-->
<div class="fh5co-spacer fh5co-spacer-xs"></div>
<img src="images/delta.png" alt="Images" class="fh5co-align-left img-responsive">
<div class='paper-title'>
Dynamic Interpretability for Model Comparison via Decision Rules (Accepted at the DynXAI workshop at ECML-PKDD 2023) <span style="font-weight:normal;color:#64748b;font-size:0.85em;">(Sep 2023)</span>
</div>
<div class='tldr'>
</div>
<div class='paper-contents'>
Adam Rida, Marie-Jeanne Lesot, Xavier Renard, Christophe Marsala
<br>
TL;DR: The DeltaXplainer paper introduces a method to explain differences between machine learning models in an understandable way. It uses interpretable surrogates to identify where models disagree in predictions. While effective for simple changes, it has limits in capturing complex differences. The paper explores its methodology, limitations, and potential for improving understanding in model comparisons.
<br />
[<a href="https://arxiv.org/abs/2309.17095">arxiv</a>] [<a href="https://github.com/adrida/deltaxplainer">github</a>] [<a href="https://pypi.org/project/deltaxplainer/">python package</a>] [<a href="https://adam-rida.medium.com/understanding-ml-model-differences-with-deltaxplainer-a-journey-into-dynamic-machine-learning-c787eada1825">blog post</a>]
</div>
<!-- End One paper-->
<!-- Start One paper-->
<div class="fh5co-spacer fh5co-spacer-xs"></div>
<img src="images/deeprl.png" alt="Images" class="fh5co-align-left img-responsive">
<div class='paper-title'>
Deep Reinforcement Learning & Feature Extraction For Constructing Alpha Generating Equity Portfolios <span style="font-weight:normal;color:#64748b;font-size:0.85em;">(Oct 2021)</span>
</div>
<div class='tldr'>
</div>
<div class='paper-contents'>
Alexander Fleiss, Amrith Kumaar, Adam Rida, Ang Li, Jialiang Chen, Vivian Fang, Xinying Lai and Junsup Shin <br />
[<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3958478">ssrn</a>] [<a href="https://github.com/Akumaar/13F_Equity_portfolios">github</a>]
</div>
<!-- End One paper-->
<!-- Start One blog post-->
<div class="fh5co-spacer fh5co-spacer-xs"></div>
<img src="images/whycrypto.png" alt="Images" class="fh5co-align-left img-responsive">
<div class='paper-title'>
Why Does Nobody Want Crypto? <span style="font-weight:normal;color:#64748b;font-size:0.85em;">(Jan 2021)</span>
</div>
<div class='tldr'>
</div>
<div class='paper-contents'>
Adam Rida <br />
[<a href="https://adam-rida.medium.com/why-does-nobody-want-crypto-2623ce19d4a0">blog post</a>]
</div>
<!-- End One blog post-->
<!-- Start One blog post-->
<div class="fh5co-spacer fh5co-spacer-xs"></div>
<img src="images/aicoop.png" alt="Images" class="fh5co-align-left img-responsive">
<div class='paper-title'>
Should We Aim For Humain-AI Coordination Instead Of Human-AI Confrontation? <span style="font-weight:normal;color:#64748b;font-size:0.85em;">(Apr 2022)</span>
</div>
<div class='tldr'>
</div>
<div class='paper-contents'>
Adam Rida <br />
[<a href="https://adam-rida.medium.com/should-we-aim-for-humain-ai-coordination-instead-of-human-ai-confrontation-abad4a21d611">blog post</a>]
</div>
<!-- End One blog post-->
</div> <!-- End of toggle -->
</div>
</div>
<!-- End Pub-->
<br>
<!-- Start Open Source Projects-->
<div id="fh5co-work">
<div class="container">
<a NAME="Open Source Projects"><h4>Open Source Projects</h4></a>
<!-- Start TRACER project-->
<div class="fh5co-spacer fh5co-spacer-xs"></div>
<img src="images/tracer_sankey.png" alt="TRACER Sankey Routing Diagram" class="fh5co-align-left img-responsive">
<div class='paper-title'>
TRACER: Trace-Based Adaptive Cost-Efficient Routing <span style="font-weight:normal;color:#64748b;font-size:0.85em;">(Apr 2026)</span>
<a href="https://github.com/adrida/tracer" target="_blank" style="margin-left:8px;vertical-align:middle;"><img src="https://img.shields.io/github/stars/adrida/tracer?style=social" alt="Stars" style="height:18px;vertical-align:middle;"></a>
</div>
<div class='tldr'>
</div>
<div class='paper-contents'>
TL;DR: TRACER is an open-source Python package that replaces expensive LLM classification calls with lightweight ML surrogates. It learns from the LLM's own production traces (zero manual labeling), gates deployment with a parity check, and generates interpretability artifacts that explain the routing boundary. Achieves 90%+ traffic offload on intent classification benchmarks.
<br>
[<a href="https://tracer.deeprecall.io">website</a>] [<a href="https://github.com/adrida/tracer">github</a>] [<a href="https://pypi.org/project/tracer-llm/">python package</a>] [<a href="https://docs.tracer.deeprecall.io">docs</a>]
</div>
<!-- End TRACER project-->
<!-- Start One project-->
<div class="fh5co-spacer fh5co-spacer-xs"></div>
<img src="images/Schema Temporal Augmented Retrieval.png" alt="Images" class="fh5co-align-left img-responsive">
<div class='paper-title'>
Temporal Augmented Retrieval (TAR) - Dynamic RAG <span style="font-weight:normal;color:#64748b;font-size:0.85em;">(Dec 2023)</span>
</div>
<div class='tldr'>
</div>
<div class='paper-contents'>
TL;DR: Temporal Augmented Retrieval (TAR) enhances traditional retrieval methods by considering time dynamics in textual data, crucial for understanding evolving topics. It detects emerging trends, aids in market trend anticipation, and uncovers cross-selling opportunities in client data. TAR's process involves query augmentation, meta-temporal data analysis, and context merging, aiming to provide insights into topic evolution. This project has been done in the context of <a href="https://buildspace.so/">buildspace's</a> nights and weekends s4 program.
[<a href="https://github.com/adrida/Temporal_RAG">github</a>] [<a href="https://adam-rida.medium.com/temporal-augmented-retrieval-tar-dynamic-rag-ad737506dfcc">blog post</a>] [<a href="https://huggingface.co/spaces/Adr740/Temporal-RAG-Benchmark">hugging face</a>]
</div>
<!-- End One project-->
<!-- Start One project-->
<div class="fh5co-spacer fh5co-spacer-xs"></div>
<img src="images/saleswhisperer.png" alt="Images" class="fh5co-align-left img-responsive">
<div class='paper-title'>
Sales AI Whisperer <span style="font-weight:normal;color:#64748b;font-size:0.85em;">(Dec 2023)</span>
</div>
<div class='tldr'>
</div>
<div class='paper-contents'>
TL;DR: The Sales AI Whisperer offers real-time insights for sales meetings, aiding discussions and suggesting tailored products. Originally designed for Planeta, it uses advanced tech to analyze meetings and empower sales teams. The tool's mechanics involve recording, GPT-4-based insights, and a user-friendly dashboard. It aims to improve sales strategies and welcomes contributions for further development.
[<a href="https://github.com/adrida/AI-Sales-Whisperer">github</a>] [<a href="https://adam-rida.medium.com/unveiling-sales-ai-whisperer-revolutionizing-sales-dynamics-with-real-time-insights-e5aaae47576e">blog post</a>]
</div>
<!-- End One project-->
<!-- Start One project-->
<!-- <div class="fh5co-spacer fh5co-spacer-xs"></div>
<img src="images/smarthadith.png" alt="Images" class="fh5co-align-left img-responsive">
<div class='paper-title'>
Smart Hadith
</div>
<div class='tldr'>
</div>
<div class='paper-contents'>
TL;DR: Smart Hadith employs AI-driven semantic search to retrieve relevant Hadiths based on context rather than specific keywords. It offers English and French versions and relies on semantic understanding rather than exact word matches. Users should not solely rely on its content for religious guidance. The tool uses OpenAI embeddings, and welcomes contributions for improvement. For technical details or contributions, contact via email at adamrida.ra@gmail.com.
<br>[<a href="https://huggingface.co/spaces/Adr740/SmartHadith_ENG">hugging face - EN version</a>] [<a href="https://huggingface.co/spaces/Adr740/SmartHadith-FR">hugging face - FR version</a>]
[<a href="https://adam-rida.medium.com/smart-hadith-ed7b6c9e0b2d">blog post</a>]
</div> -->
<!-- End One project-->
</div>
</div>
<!-- End Open Source Projects-->
<div class="fh5co-spacer fh5co-spacer-md"></div>
<div class="fh5co-spacer fh5co-spacer-sm"></div>
</main>
<footer id="fh5co-footer" role="contentinfo">
<div class="container">
<div class="row">
<div class="col-md-push-6 col-md-6">
<p class="fh5co-copyright" align='right'>
<small>
<!-- Designed by: <a href="http://freehtml5.co/">freehtml5.co</a> -->
</small>
</p>
</div>
</div>
</div>
</footer>
<!-- Go To Top -->
<a href="#" class="fh5co-gotop"><i class="ti-shift-left"></i></a>
<!-- jQuery -->
<script src="js/jquery-1.10.2.min.js"></script>
<!-- jQuery Easing -->
<script src="js/jquery.easing.1.3.js"></script>
<!-- Bootstrap -->
<script src="js/bootstrap.js"></script>
<!-- Owl carousel -->
<script src="js/owl.carousel.min.js"></script>
<!-- Magnific Popup -->
<script src="js/jquery.magnific-popup.min.js"></script>
<!-- Easy Responsive Tabs -->
<script src="js/easyResponsiveTabs.js"></script>
<!-- FastClick for Mobile/Tablets -->
<script src="js/fastclick.js"></script>
<!-- Velocity -->
<script src="js/velocity.min.js"></script>
<!-- Google Map -->
<script src="https://maps.googleapis.com/maps/api/js?key=AIzaSyCefOgb1ZWqYtj7raVSmN4PL2WkTrc-KyA&sensor=false"></script>
<script src="js/google_map.js"></script>
<!-- Main JS -->
<script src="js/main.js"></script>
<script>
function toggle() {
var x = document.getElementById("toggle-div");
var btn = document.getElementById("thebutton");
if (x.style.display === "block") {
x.style.display = "none";
btn.innerHTML = "+ Show more..."
} else {
x.style.display = "block";
btn.innerHTML = "Hide"
}
}
</script>
</body>
</html>