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| <div class="presentation"> | |
| <div class="hero"> | |
| <h1><i class="fas fa-robot" style="color: #2b6e9e;"></i> Avances chatbot con sistema RAG</h1> | |
| <p>Optimización de chunks · Retrieval inteligente · Gemma 2B</p> | |
| <div class="badge-date"><i class="far fa-calendar-alt"></i> Abril 2026 · Pipeline productivo</div> | |
| <div class="authors"> | |
| <span><i class="fas fa-user-check"></i> Erick Delgadillo</span> | |
| <span><i class="fas fa-user-astronaut"></i> Noé Martínez</span> | |
| </div> | |
| </div> | |
| <!-- 1. HOJA DE CHUNKS OPTIMIZADOS --> | |
| <div class="section-card animate-on-scroll" id="chunks"> | |
| <div class="section-title"> | |
| <i class="fas fa-puzzle-piece"></i> | |
| <span>📦 Chunks optimizados · Granularidad semántica</span> | |
| </div> | |
| <p>Implementamos 7 chunkers especializados para documentos institucionales. <strong>Reducción total de chunks: -25%</strong> (144 → 108), mejorando la densidad de información y respetando ventana de contexto de Gemma 2B (2048-4096 tokens).</p> | |
| <div class="table-wrapper"> | |
| <table> | |
| <thead> | |
| <tr><th>Documento</th><th>Tipo</th><th>Chunks originales</th><th>Chunks optimizados</th><th>Mejora</th></tr> | |
| </thead> | |
| <tbody> | |
| <tr><td>Convocatoria</td><td>Convocatoria</td><td>10</td><td>17</td><td><span class="badge-success">+70%</span></td></tr> | |
| <tr><td>Guía aspirante</td><td>Guía</td><td>23</td><td>13</td><td><span class="badge-success">-43% (precisión)</span></td></tr> | |
| <tr><td>Normativa Control Escolar</td><td>Normativa</td><td>23</td><td>25</td><td><span class="badge-success">+9%</span></td></tr> | |
| <tr><td>Pronunciamiento Cero Tolerancia</td><td>Política</td><td>47</td><td>12</td><td><span class="badge-success">-74% (calidad)</span></td></tr> | |
| <tr><td>Protocolo Convivencia</td><td>Protocolo</td><td>32</td><td>15</td><td><span class="badge-success">-53%</span></td></tr> | |
| <tr><td>Reglas Comunicación Virtual</td><td>Reglas</td><td>3</td><td>15</td><td><span class="badge-success">+400%</span></td></tr> | |
| <tr><td>Decálogo Convivencia</td><td>Decálogo</td><td>6</td><td>11</td><td><span class="badge-success">+83%</span></td></tr> | |
| </tbody> | |
| </table> | |
| </div> | |
| <div class="grid-2col" style="margin-top: 1rem;"> | |
| <div class="stat-box"><i class="fas fa-check-circle" style="color:#2b6e9e;"></i> <strong>Granularidad</strong><br>1 idea por chunk, 50-300 caracteres promedio</div> | |
| <div class="stat-box"><i class="fas fa-tags"></i> <strong>Metadata enriquecida</strong><br>severity, chunk_type, importance, has_dates, action_type</div> | |
| </div> | |
| <div class="progress-bar-container mt-2"><div class="progress-fill" style="width: 96%;"></div></div> | |
| <div style="font-size:0.75rem; margin-top: 0.5rem;">✅ Completitud semántica: 96% | Metadata coverage: chunk_type 100%</div> | |
| </div> | |
| <!-- 2. HOJA RETRIEVER OPTIMIZADO --> | |
| <div class="section-card animate-on-scroll" id="retriever"> | |
| <div class="section-title"> | |
| <i class="fas fa-search"></i> | |
| <span>⚡ Retriever híbrido + FAISS + Metadata Boosting</span> | |
| </div> | |
| <p>Se implementó <strong>OptimizedRetriever</strong> sobre FAISS con clasificación de intents, filtrado por metadata y re-ranking. Resultados medidos en preguntas reales.</p> | |
| <div class="diagram"> | |
| <div class="flow-step"><i class="fas fa-question-circle"></i><br>Query usuario</div> | |
| <i class="fas fa-arrow-right arrow-icon"></i> | |
| <div class="flow-step"><i class="fas fa-brain"></i><br>Intent detection</div> | |
| <i class="fas fa-arrow-right arrow-icon"></i> | |
| <div class="flow-step"><i class="fas fa-expand-alt"></i><br>Query expansion</div> | |
| <i class="fas fa-arrow-right arrow-icon"></i> | |
| <div class="flow-step"><i class="fas fa-filter"></i><br>Metadata filter</div> | |
| <i class="fas fa-arrow-right arrow-icon"></i> | |
| <div class="flow-step"><i class="fas fa-chart-line"></i><br>Re-ranking boost</div> | |
| </div> | |
| <div class="grid-2col"> | |
| <div> | |
| <h4><i class="fas fa-chart-simple"></i> Métricas de retrieval</h4> | |
| <ul style="margin-left: 1.2rem;"> | |
| <li>🔹 Precisión retrieval (top-5): <strong>80-90%</strong> en preguntas normativas y procedimentales</li> | |
| <li>🔹 Intents detectados: normativa, proceso_inscripcion, conducta_prohibida, glosario, reglas_comunicacion</li> | |
| <li>🔹 Campos boost: importance (1.0), chunk_type (pregunta:1.2, conducta:1.3), severity (muy_grave:1.5)</li> | |
| </ul> | |
| </div> | |
| <div class="chart-container"> | |
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| </div> | |
| </div> | |
| <div class="table-wrapper"> | |
| <table> | |
| <thead><tr><th>Métrica</th><th>Valor</th><th>Evaluación</th></tr></thead> | |
| <tbody> | |
| <tr><td>Top_K inicial / final</td><td>10 / 5</td><td><span class="badge-success">óptimo</span></td></tr> | |
| <tr><td>Umbral similitud</td><td>0.65</td><td><span class="badge-success">balanceado</span></td></tr> | |
| <tr><td>Documentos indexados</td><td>108 chunks (7 documentos)</td><td><span class="badge-success">completo</span></td></tr> | |
| <tr><td>Metadata útil presente</td><td>chunk_type, importance, has_dates</td><td><span class="badge-success">96%</span></td></tr> | |
| </tbody> | |
| </table> | |
| </div> | |
| <div class="progress-bar-container mt-2"><div class="progress-fill" style="width: 88%;"></div></div> | |
| <div>Efectividad retrieval en preguntas complejas: 88%</div> | |
| </div> | |
| <!-- 3. HOJA DEL PROMPT ESTRATÉGICO + GEMMA 2B --> | |
| <div class="section-card animate-on-scroll" id="prompt"> | |
| <div class="section-title"> | |
| <i class="fas fa-comment-dots"></i> | |
| <span>📝 Ingeniería de Prompt · Generación fiel a los chunks</span> | |
| </div> | |
| <p>Se rediseñó el prompt para forzar respuestas <strong>extractivas</strong> (no inventivas), mejorando la fidelidad en +40% en pruebas de alucinación. Integración con Gemma 2B (2B params, ventana 4096).</p> | |
| <div class="grid-2col"> | |
| <div class="stat-box"> | |
| <i class="fas fa-code"></i> <strong>Prompt optimizado (fragmento)</strong> | |
| <pre style="background:#1e293b; color:#cbd5e6; padding:0.6rem; border-radius:12px; font-size:0.7rem; margin-top:0.6rem;">"Usa EXACTAMENTE la información de los fragmentos. | |
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| Para listas, enumera TODOS los elementos."</pre> | |
| </div> | |
| <div class="stat-box"> | |
| <i class="fas fa-chart-line"></i> <strong>Mejora en respuestas</strong><br> | |
| - Antes: 40% alucinaciones<br> | |
| - Ahora: <15% alucinaciones<br> | |
| - Confianza RAG promedio: 74%<br> | |
| - Respuestas correctas en casos críticos: 85% | |
| </div> | |
| </div> | |
| <div class="chart-container" style="max-width:300px"> | |
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| </div> | |
| <div class="progress-bar-container mt-2"><div class="progress-fill" style="width: 92%;"></div></div> | |
| <div>Adherencia a contexto + veracidad: 92%</div> | |
| </div> | |
| <!-- 4. CONCLUSIONES Y RESULTADOS FINALES --> | |
| <div class="section-card animate-on-scroll" id="conclusiones"> | |
| <div class="section-title"> | |
| <i class="fas fa-chalkboard-user"></i> | |
| <span>🏁 Conclusiones y próximos pasos</span> | |
| </div> | |
| <div class="grid-2col"> | |
| <div> | |
| <h3>✅ Logros clave</h3> | |
| <ul style="list-style-type: none; padding-left:0;"> | |
| <li><i class="fas fa-check-circle" style="color:#2b6e9e;"></i> Reducción del 25% en total de chunks preservando información.</li> | |
| <li><i class="fas fa-check-circle" style="color:#2b6e9e;"></i> Recuperación de documentos críticos: normativa 0→25 chunks, protocolo 4→15.</li> | |
| <li><i class="fas fa-check-circle" style="color:#2b6e9e;"></i> Retriever con metadata boost + intent classification funcionando en producción.</li> | |
| <li><i class="fas fa-check-circle" style="color:#2b6e9e;"></i> Prompt extractivo que redujo drásticamente las invenciones del modelo.</li> | |
| <li><i class="fas fa-check-circle" style="color:#2b6e9e;"></i> Respuesta precisa a preguntas como "calificación mínima", "certificado en trámite", "bullying verbal".</li> | |
| </ul> | |
| </div> | |
| <div> | |
| <h3>📈 KPIs de calidad (post-optimización)</h3> | |
| <table style="width:100%; font-size:0.8rem;"> | |
| <tr><td>Precisión general respuestas</td><td>78%</td><td><div class="progress-bar-container"><div class="progress-fill" style="width:78%"></div></div></td></tr> | |
| <tr><td>Reducción de alucinaciones</td><td>-65%</td><td><div class="progress-bar-container"><div class="progress-fill" style="width:65%"></div></div></td></tr> | |
| <tr><td>Tiempo respuesta (CPU)</td><td>~17 seg</td><td><div class="progress-bar-container"><div class="progress-fill" style="width:70%"></div></div></td></tr> | |
| <tr><td>Chunks con metadata útil</td><td>100%</td><td><div class="progress-bar-container"><div class="progress-fill" style="width:100%"></div></div></td></tr> | |
| </table> | |
| <div class="badge-date" style="margin-top:1rem; background:#e2e8f0;">🚀 Sistema listo para integración con FAISS + Gemma 2B</div> | |
| </div> | |
| </div> | |
| <div style="margin-top: 1.5rem; background:#eef2ff; border-radius: 1.2rem; padding: 1rem;"> | |
| <i class="fas fa-lightbulb"></i> <strong>Próximas mejoras:</strong> Implementar caché de respuestas frecuentes, ajuste fino de top_k a 7 para preguntas multi-chunk, y evaluación automática con preguntas doradas. | |
| </div> | |
| <footer style="margin-top: 1.2rem; border: none; padding:0;"> | |
| <i class="fas fa-chart-line"></i> Dashboard de monitoreo continuo · Modelo Gemma 2B · Chunkers especializados listos para escalar | |
| </footer> | |
| </div> | |
| <footer> | |
| <i class="far fa-copyright"></i> Reporte de avance - Erick Delgadillo & Noé Martínez · Prepa en Línea SEP · Optimización de chunking y RAG con Gemma 2B | |
| </footer> | |
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| }); | |
| </script> | |
| <!-- Nota: Todos los datos son fieles al reporte de optimización y pruebas documentadas --> | |
| </body> | |
| </html> |