{"text": "這幾天,Deepseq V4 Flash模型正式發布公測了。Agent 能力強,性價比極高,直接秒了一大半其他模型。更香的是,它原生支持了Responses API。只要兩分鐘,我就能帶你把Deepseq接入Codex並成功實途,節省上百塊訂閱費。首先打開Deepseq的API開放平台,創建一個APIK。這是調用AI大模型的憑證,一定要保存好。然後打開Deepseq官方文檔,可以看到它提供了一鍵配置腳本,能夠自動完成接入Codex的配置。注意,運行前要確保已經安裝Codex命令行工具或者ChatGPT桌面APP,並且至少運行過一次。然後根據操作系統複製對應的命令,打開終端,粘貼命令並執行。腳本會引導你選擇接入哪個模型。輸入1,使用V4Flash。回車。然後輸入前面獲取到的APIK。注意不要對外洩漏哦。回車。刷刷刷。腳本就會修改Codex配置,把Deepseq接入到Codex中了。最後重新打開Codex。看到了對應的模型名稱,就可以愉快地對話使用了。裝面APP也已經成功接入了,不用單獨配置,是不是很簡單?比我之前分享的用CCSwitch工具來接入國產模型要方便多了。請大家在彈幕打出,量身恩情還不完。哇,好棒好棒,真厲害。不過可惜的是,Deepseq V4Flash是純文本模型,不能識別理解圖片。所以我們需要給AI編程工具裝一個實圖Steel。引導AI用另一個多模態視覺模型來幫它看圖。先準備一個支持圖片理解的視覺模型,比如最新的ChainWin3.8 Max,並且到對應的大模型平台獲取到模型的APIK。然後直接在Codex中發一段提示詞,讓AI幫你完成實圖Skill的安裝和配置。安裝完成後,當AI需要看圖時,實圖Skill就會自動把圖片發給視覺模型,讓它把圖片內容轉成文字描述,再交給Deepseq繼續推理。好了,這下學習AI編程的門檻更低了。那我之前出過Codex的保姆級教程,放到了我免費開源的AI編程零基礎教程上。有幫助的話,記得點贊收藏三連哦。拜拜。", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 4.2, "text": "這幾天,Deepseq V4 Flash模型正式發布公測了。", "tokens": [50365, 2664, 23575, 6135, 11, 11089, 595, 405, 80, 691, 19, 20232, 41908, 39823, 15789, 27584, 14637, 34688, 13545, 9592, 105, 2289, 1543, 50575], "temperature": 0, "avg_logprob": -0.19249022097987983, "compression_ratio": 1.1023890784982935, "no_speech_prob": 9.834399787578274e-12}, {"id": 1, "seek": 0, "start": 4.2, "end": 9.0, "text": "Agent 能力強,性價比極高,直接秒了一大半其他模型。", "tokens": [50575, 32, 6930, 220, 8225, 13486, 22752, 11, 21686, 45441, 11706, 13387, 113, 12979, 11, 43297, 20956, 2289, 2257, 3582, 30018, 9572, 5000, 41908, 39823, 1543, 50815], "temperature": 0, "avg_logprob": -0.19249022097987983, "compression_ratio": 1.1023890784982935, "no_speech_prob": 9.834399787578274e-12}, {"id": 2, "seek": 0, "start": 9.0, "end": 13.0, "text": "更香的是,它原生支持了Responses API。", "tokens": [50815, 19002, 16017, 24620, 11, 11284, 19683, 8244, 35488, 2289, 49, 13361, 892, 279, 9362, 1543, 51015], "temperature": 0, "avg_logprob": -0.19249022097987983, "compression_ratio": 1.1023890784982935, "no_speech_prob": 9.834399787578274e-12}, {"id": 3, "seek": 0, "start": 13.0, "end": 21.0, "text": "只要兩分鐘,我就能帶你把Deepseq接入Codex並成功實途,節省上百塊訂閱費。", "tokens": [51015, 14003, 4275, 16313, 32611, 11, 22020, 8225, 32379, 2166, 16075, 11089, 595, 405, 80, 14468, 14028, 34, 1429, 87, 35934, 11336, 32311, 10376, 2215, 242, 11, 27694, 2862, 223, 5708, 31906, 26268, 30215, 50071, 1543, 51415], "temperature": 0, "avg_logprob": -0.19249022097987983, "compression_ratio": 1.1023890784982935, "no_speech_prob": 9.834399787578274e-12}, {"id": 4, "seek": 0, "start": 23.0, "end": 28.0, "text": "首先打開Deepseq的API開放平台,創建一個APIK。", "tokens": [51515, 36490, 12467, 8949, 11089, 595, 405, 80, 1546, 4715, 40, 8949, 12744, 16716, 15433, 11, 5935, 113, 34157, 8990, 4715, 22670, 1543, 51765], "temperature": 0, "avg_logprob": -0.19249022097987983, "compression_ratio": 1.1023890784982935, "no_speech_prob": 9.834399787578274e-12}, {"id": 5, "seek": 2800, "start": 28.0, "end": 32.0, "text": "這是調用AI大模型的憑證,一定要保存好。", "tokens": [50365, 16600, 32943, 9254, 48698, 3582, 41908, 39823, 1546, 29713, 239, 11823, 231, 11, 48161, 24302, 39781, 2131, 1543, 50565], "temperature": 0, "avg_logprob": -0.06539638174904717, "compression_ratio": 1.167202572347267, "no_speech_prob": 1.4407055409781933e-11}, {"id": 6, "seek": 2800, "start": 32.0, "end": 41.0, "text": "然後打開Deepseq官方文檔,可以看到它提供了一鍵配置腳本,能夠自動完成接入Codex的配置。", "tokens": [50565, 10213, 12467, 8949, 11089, 595, 405, 80, 31929, 9249, 17174, 40741, 242, 11, 6723, 18032, 11284, 20949, 3254, 249, 2289, 2257, 41668, 113, 38846, 34719, 49595, 8802, 11, 8225, 31649, 9722, 12572, 41509, 14468, 14028, 34, 1429, 87, 1546, 38846, 34719, 1543, 51015], "temperature": 0, "avg_logprob": -0.06539638174904717, "compression_ratio": 1.167202572347267, "no_speech_prob": 1.4407055409781933e-11}, {"id": 7, "seek": 2800, "start": 41.0, "end": 50.0, "text": "注意,運行前要確保已經安裝Codex命令行工具或者ChatGPT桌面APP,並且至少運行過一次。", "tokens": [51015, 40794, 11, 32772, 8082, 8945, 4275, 24293, 24302, 25338, 16206, 44453, 34, 1429, 87, 25236, 49061, 8082, 23323, 39806, 31148, 41683, 38, 47, 51, 162, 5475, 8833, 8749, 11, 35934, 20334, 20844, 15686, 32772, 8082, 8816, 27505, 1543, 51465], "temperature": 0, "avg_logprob": -0.06539638174904717, "compression_ratio": 1.167202572347267, "no_speech_prob": 1.4407055409781933e-11}, {"id": 8, "seek": 2800, "start": 50.0, "end": 57.0, "text": "然後根據操作系統複製對應的命令,打開終端,粘貼命令並執行。", "tokens": [51465, 10213, 31337, 36841, 13167, 235, 11914, 25368, 33725, 164, 97, 229, 8083, 121, 2855, 20481, 1546, 25236, 49061, 11, 12467, 8949, 29371, 11957, 107, 11, 18393, 246, 11561, 120, 25236, 49061, 35934, 16262, 115, 8082, 1543, 51815], "temperature": 0, "avg_logprob": -0.06539638174904717, "compression_ratio": 1.167202572347267, "no_speech_prob": 1.4407055409781933e-11}, {"id": 9, "seek": 5700, "start": 57.0, "end": 60.0, "text": "腳本會引導你選擇接入哪個模型。", "tokens": [50365, 49595, 8802, 6236, 41301, 25647, 2166, 21625, 13167, 229, 14468, 14028, 17028, 3338, 41908, 39823, 1543, 50515], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 10, "seek": 5700, "start": 60.0, "end": 62.0, "text": "輸入1,使用V4Flash。", "tokens": [50515, 12290, 116, 14028, 16, 11, 22982, 9254, 53, 19, 25680, 1299, 1543, 50615], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 11, "seek": 5700, "start": 62.0, "end": 63.0, "text": "回車。", "tokens": [50615, 8350, 25941, 1543, 50665], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 12, "seek": 5700, "start": 63.0, "end": 66.0, "text": "然後輸入前面獲取到的APIK。", "tokens": [50665, 10213, 12290, 116, 14028, 8945, 8833, 29057, 110, 29436, 4511, 1546, 4715, 22670, 1543, 50815], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 13, "seek": 5700, "start": 66.0, "end": 68.0, "text": "注意不要對外洩漏哦。", "tokens": [50815, 40794, 11962, 2855, 12022, 12136, 102, 14065, 237, 14659, 1543, 50915], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 14, "seek": 5700, "start": 68.0, "end": 69.0, "text": "回車。", "tokens": [50915, 8350, 25941, 1543, 50965], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 15, "seek": 5700, "start": 69.0, "end": 70.0, "text": "刷刷刷。", "tokens": [50965, 2437, 115, 2437, 115, 2437, 115, 1543, 51015], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 16, "seek": 5700, "start": 70.0, "end": 75.0, "text": "腳本就會修改Codex配置,把Deepseq接入到Codex中了。", "tokens": [51015, 49595, 8802, 47778, 7792, 106, 34490, 34, 1429, 87, 38846, 34719, 11, 16075, 11089, 595, 405, 80, 14468, 14028, 4511, 34, 1429, 87, 5975, 2289, 1543, 51265], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 17, "seek": 5700, "start": 75.0, "end": 77.0, "text": "最後重新打開Codex。", "tokens": [51265, 20578, 12624, 12560, 12467, 8949, 34, 1429, 87, 1543, 51365], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 18, "seek": 5700, "start": 77.0, "end": 81.0, "text": "看到了對應的模型名稱,就可以愉快地對話使用了。", "tokens": [51365, 18032, 2289, 2855, 20481, 1546, 41908, 39823, 15940, 49606, 11, 36781, 4820, 231, 10251, 10928, 2855, 11103, 22982, 9254, 2289, 1543, 51565], "temperature": 0, "avg_logprob": -0.08729519210495315, "compression_ratio": 1.1970260223048328, "no_speech_prob": 2.4079082477923563e-11}, {"id": 19, "seek": 8100, "start": 81.0, "end": 87.0, "text": "裝面APP也已經成功接入了,不用單獨配置,是不是很簡單?", "tokens": [50365, 44453, 8833, 8749, 6404, 25338, 11336, 32311, 14468, 14028, 2289, 11, 24384, 24227, 163, 18304, 38846, 34719, 11, 23034, 4563, 31995, 30, 50665], "temperature": 0, "avg_logprob": -0.17089522724420253, "compression_ratio": 1.0259067357512954, "no_speech_prob": 2.256409122047831e-11}, {"id": 20, "seek": 8100, "start": 87.0, "end": 92.0, "text": "比我之前分享的用CCSwitch工具來接入國產模型要方便多了。", "tokens": [50665, 11706, 1654, 32442, 30855, 1546, 9254, 11717, 38373, 1549, 23323, 39806, 3763, 14468, 14028, 8053, 33299, 41908, 39823, 4275, 9249, 27364, 6392, 2289, 1543, 50915], "temperature": 0, "avg_logprob": -0.17089522724420253, "compression_ratio": 1.0259067357512954, "no_speech_prob": 2.256409122047831e-11}, {"id": 21, "seek": 8100, "start": 92.0, "end": 96.0, "text": "請大家在彈幕打出,量身恩情還不完。", "tokens": [50915, 16302, 6868, 3581, 7391, 230, 40211, 12467, 7781, 11, 26748, 19847, 47638, 10570, 7824, 1960, 14128, 1543, 51115], "temperature": 0, "avg_logprob": -0.17089522724420253, "compression_ratio": 1.0259067357512954, "no_speech_prob": 2.256409122047831e-11}, {"id": 22, "seek": 9600, "start": 96.0, "end": 99.0, "text": "哇,好棒好棒,真厲害。", "tokens": [50365, 19471, 11, 2131, 23514, 2131, 23514, 11, 6303, 20939, 1543, 50515], "temperature": 0, "avg_logprob": -0.16310239921916614, "compression_ratio": 1.0319634703196348, "no_speech_prob": 1.882504221950576e-11}, {"id": 23, "seek": 9600, "start": 99.0, "end": 105.0, "text": "不過可惜的是,Deepseq V4Flash是純文本模型,不能識別理解圖片。", "tokens": [50515, 28193, 4429, 48199, 24620, 11, 11089, 595, 405, 80, 691, 19, 25680, 1299, 1541, 7732, 242, 17174, 8802, 41908, 39823, 11, 28590, 43143, 16158, 13876, 17278, 2523, 244, 16668, 1543, 50815], "temperature": 0, "avg_logprob": -0.16310239921916614, "compression_ratio": 1.0319634703196348, "no_speech_prob": 1.882504221950576e-11}, {"id": 24, "seek": 9600, "start": 105.0, "end": 110.0, "text": "所以我們需要給AI編程工具裝一個實圖Steel。", "tokens": [50815, 7239, 5884, 35748, 17798, 48698, 12608, 101, 29649, 23323, 39806, 44453, 8990, 10376, 2523, 244, 14208, 338, 1543, 51065], "temperature": 0, "avg_logprob": -0.16310239921916614, "compression_ratio": 1.0319634703196348, "no_speech_prob": 1.882504221950576e-11}, {"id": 25, "seek": 9600, "start": 110.0, "end": 114.0, "text": "引導AI用另一個多模態視覺模型來幫它看圖。", "tokens": [51065, 41301, 25647, 48698, 9254, 22762, 8990, 6392, 41908, 45248, 27333, 9463, 41908, 39823, 3763, 32187, 11284, 4200, 2523, 244, 1543, 51265], "temperature": 0, "avg_logprob": -0.16310239921916614, "compression_ratio": 1.0319634703196348, "no_speech_prob": 1.882504221950576e-11}, {"id": 26, "seek": 11400, "start": 114.0, "end": 120.0, "text": "先準備一個支持圖片理解的視覺模型,比如最新的ChainWin3.8 Max,", "tokens": [50365, 10108, 36241, 8990, 35488, 2523, 244, 16668, 13876, 17278, 1546, 27333, 9463, 41908, 39823, 11, 36757, 8661, 12560, 1546, 6546, 491, 54, 259, 18, 13, 23, 7402, 11, 50665], "temperature": 0, "avg_logprob": -0.10869679799894007, "compression_ratio": 1.1527272727272728, "no_speech_prob": 1.9429955908090157e-11}, {"id": 27, "seek": 11400, "start": 120.0, "end": 124.0, "text": "並且到對應的大模型平台獲取到模型的APIK。", "tokens": [50665, 35934, 20334, 4511, 2855, 20481, 1546, 3582, 41908, 39823, 16716, 15433, 29057, 110, 29436, 4511, 41908, 39823, 1546, 4715, 22670, 1543, 50865], "temperature": 0, "avg_logprob": -0.10869679799894007, "compression_ratio": 1.1527272727272728, "no_speech_prob": 1.9429955908090157e-11}, {"id": 28, "seek": 11400, "start": 124.0, "end": 132.0, "text": "然後直接在Codex中發一段提示詞,讓AI幫你完成實圖Skill的安裝和配置。", "tokens": [50865, 10213, 43297, 3581, 34, 1429, 87, 5975, 14637, 2257, 28427, 20949, 25696, 6716, 252, 11, 21195, 48698, 32187, 2166, 41509, 10376, 2523, 244, 50, 34213, 1546, 16206, 44453, 12565, 38846, 34719, 1543, 51265], "temperature": 0, "avg_logprob": -0.10869679799894007, "compression_ratio": 1.1527272727272728, "no_speech_prob": 1.9429955908090157e-11}, {"id": 29, "seek": 11400, "start": 132.0, "end": 139.0, "text": "安裝完成後,當AI需要看圖時,實圖Skill就會自動把圖片發給視覺模型,", "tokens": [51265, 16206, 44453, 41509, 5661, 11, 13118, 48698, 35748, 4200, 2523, 244, 6611, 11, 10376, 2523, 244, 50, 34213, 47778, 9722, 12572, 16075, 2523, 244, 16668, 14637, 17798, 27333, 9463, 41908, 39823, 11, 51615], "temperature": 0, "avg_logprob": -0.10869679799894007, "compression_ratio": 1.1527272727272728, "no_speech_prob": 1.9429955908090157e-11}, {"id": 30, "seek": 13900, "start": 139.0, "end": 144.0, "text": "讓它把圖片內容轉成文字描述,再交給Deepseq繼續推理。", "tokens": [50365, 21195, 11284, 16075, 2523, 244, 16668, 28472, 25750, 32739, 11336, 17174, 22381, 11673, 237, 3316, 108, 11, 8623, 28455, 17798, 11089, 595, 405, 80, 38459, 33597, 13876, 1543, 50615], "temperature": 0, "avg_logprob": -0.10008324142050955, "compression_ratio": 1.1193415637860082, "no_speech_prob": 2.332490971201917e-11}, {"id": 31, "seek": 13900, "start": 144.0, "end": 147.0, "text": "好了,這下學習AI編程的門檻更低了。", "tokens": [50615, 12621, 11, 2664, 4438, 21372, 34025, 48698, 12608, 101, 29649, 1546, 37232, 162, 33411, 19002, 41377, 2289, 1543, 50765], "temperature": 0, "avg_logprob": -0.10008324142050955, "compression_ratio": 1.1193415637860082, "no_speech_prob": 2.332490971201917e-11}, {"id": 32, "seek": 13900, "start": 147.0, "end": 154.0, "text": "那我之前出過Codex的保姆級教程,放到了我免費開源的AI編程零基礎教程上。", "tokens": [50765, 4184, 1654, 32442, 7781, 8816, 34, 1429, 87, 1546, 24302, 7795, 228, 35315, 21936, 29649, 11, 12744, 21381, 1654, 2347, 235, 50071, 8949, 47402, 1546, 48698, 12608, 101, 29649, 6306, 114, 26008, 14971, 236, 21936, 29649, 5708, 1543, 51115], "temperature": 0, "avg_logprob": -0.10008324142050955, "compression_ratio": 1.1193415637860082, "no_speech_prob": 2.332490971201917e-11}, {"id": 33, "seek": 13900, "start": 154.0, "end": 157.0, "text": "有幫助的話,記得點贊收藏三連哦。", "tokens": [51115, 2412, 32187, 37618, 21358, 11, 30872, 8216, 18464, 232, 18681, 21782, 237, 10960, 36252, 14659, 1543, 51265], "temperature": 0, "avg_logprob": -0.10008324142050955, "compression_ratio": 1.1193415637860082, "no_speech_prob": 2.332490971201917e-11}, {"id": 34, "seek": 13900, "start": 157.0, "end": 158.0, "text": "拜拜。", "tokens": [51265, 35105, 1543, 51315], "temperature": 0, "avg_logprob": -0.10008324142050955, "compression_ratio": 1.1193415637860082, "no_speech_prob": 2.332490971201917e-11}], "language": "zh"}